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Program Faculty

Data Science

Abid Ali is currently working in IRI as director of technology in the data engineering group. He has undergraduate in computer sciences, a Master's in business intelligence and data warehousing, another Master's in information and knowledge strategy, and a Ph.D. in organizational leadership. He is also a Teradata Certified Master. He has several years of international consulting experience leading, designing, and delivering large scale data and reporting solutions in the U.S., Great Britain, Europe, and Asia Pacific. He is experienced in various industries such as retail, insurance, finance, banking, telecom, and travel. He specializes in data architecture design and implementation, data warehousing and business intelligence, and advanced analytics. His research interests include data analytics, organizational leadership, diversity and inclusion, and social and industrial/organizational psychology. He is also an adjunct lecturer in the masters of applied analytics program at Columbia University, NYC.

Edward Arroyo has worked for both on-ground and online universities in a variety of capacities during the last fifteen years. During that period he has taught undergraduate and graduate mathematics courses as well as undergraduate programming and theoretical computer science courses. In addition, he worked for several years outside of academia as a test engineer for a digital media company. His research interests and publications are in the areas of combinatorics and image reconstruction algorithms in computerized and discrete tomography. He holds a Ph.D. in pure mathematics from the Graduate School and University Center of CUNY.

Lynd Bacon

Lynd Bacon

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Currently teaching:
Practical Machine Learning

Lynd Bacon is an applied behavioral scientist, quantitative methodologist, and technology entrepreneur.
He is an Adjunct Associate Professor at the University of Utah in the School of Medicine and in the David Eccles School of Business. At Utah he teaches graduate and post-graduate level business, marketing, and health care analytics, as well as applied machine learning and AI. He is also an Adjunct Associate Teaching Professor in Notre Dame’s Mendoza College of Business where he teaches a graduate level course in marketing analytics. His prior teaching experience includes having taught marketing, research methodology, statistics, and experimental psychology courses at The University of Chicago Booth School of Business, Rush University, and the University of Illinois at Chicago, as well as a number of short courses about multivariate quantitative methods and data mining for the American Marketing Association. He was a certified instructor for the Motorcycle Safety Foundation for 10 years. Lynd is the president of Loma Buena Associates, a technical research and design consultancy. He founded two analytics software companies, has held Chief Research Officer and senior executive positions in global marketing intelligence firms, and has served on the boards of several technology and business intelligence companies. He is nationally certified in new product development process management by the Product Development and Management Association. Bacon has a PhD and an MA in Experimental Psychology from the University of Illinois at Chicago, and an MBA with specializations in marketing, econometrics, and healthcare management from the Booth School of Business, The University of Chicago. He completed a two year postdoctoral fellowship in neuropsychology at Rush University in Chicago, where he did brain science research on healthy and patient populations.

Atef Bader has been working in the IT industry for many years and currently is a member of the technical staff at Lucent Technologies. He is a recognized expert in object-oriented technology, automated software testing, concurrent software systems and software architecture. His technical papers have been presented at numerous conferences and published in technical journals. Bader holds a PhD in computer science from Illinois Institute of Technology.

Nathan Bastian is a leader, practitioner, researcher, and educator of mathematical, computational, analytical, data-driven, and decision-centric methods to support the improvement and enhancement of decision-making in cyber security, national defense, military operations, human resources and manpower, healthcare, logistics, energy and finance. His expertise lies in the scientific discovery and translation of actionable insights into effective decisions using algorithms, techniques, tools and technologies from operations research, data science, artificial intelligence, industrial engineering, and economics to design, develop, deploy and operationalize decision-support models for descriptive, predictive and prescriptive analytics. Bastian holds a Ph.D. degree in industrial engineering and operations research from the Pennsylvania State University, M.Eng. degree in industrial engineering from Penn State, M.S. degree in econometrics and operations research from Maastricht University, and B.S. degree in engineering management (electrical engineering) with honors from the U.S. Military Academy at West Point.

Daniel Baumgartner

Daniel Baumgartner

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Currently teaching:
Project Management

Daniel Baumgartner is an independent management consultant with more than 30 years of business process management and information technology experience. He has held leadership roles in management and information technology consulting services, was a partner in several large management consulting firms and has expertise in improving business processes, developing IT strategies and plans, leading the implementation of IT solutions to address business issues and selecting and implementing enterprise-wide software applications. Baumgartner has managed client business analysts and functional managers. Baumgartner has a master’s degree from Northwestern’s Kellogg School of Management.

Shreenidhi Bharadwaj currently leads the AI, data Strategy & next-gen platform initiatives at Gladson. He focuses on innovation, developing and operationalizing deep learning models, data engineering at scale using on premise & cloud platforms, effective data visualizations, model-driven design & algorithmic thinking. He is active in developing global standards, roadmaps, governance & compliance requirements relating to food services, healthcare, retail, supply chain & CPG/FMCG while driving adoption by simplification. In his previous role as the Director of emerging products at IRI, he led highly visible strategic initiatives in the Consumer and Media science relating to Segmentation, Targeting and Activation, Campaign Measurement, and Hyper-Personalization. With 20+ years of experience, Bharadwaj has been successful in aligning the future state with corporate goals and driving major transformation initiatives including large-scale M&A integrations at Fortune 100 companies while mentoring and managing global teams. Bharadwaj has filed for a couple of patents and has an extensive background in formulating product launch strategies which have helped over a dozen products move from inception to market. He has worked in Telecommunications, Finance, Healthcare, Retail/CPG, and Public Safety domains. Bharadwaj is a graduate of the MS Analytics program from The University of Chicago and BE, Electronics and Communications from Manipal Institute of Technology, India.

Chad R. Bhatti is vice president and senior statistician in the mortgage banking division of J. P. Morgan Chase. He previously was a National Science Foundation VIGRE (vertical integration of research and education) postdoctoral researcher in mathematics at Tulane University. His professional and research interests are in financial econometrics and statistical computing. Bhatti is trained in applied mathematics and statistics and has a PhD in statistics from Rice University.

Moses Boudourides was Professor of Mathematics at the University of Patras in Greece (from 1998 until September 2017, when he retired). Previously he was Associate Professor at the Department of Electrical and Computer Engineering of the Democritus University of Thrace in Xanthi, Greece (1982-1998). In addition he was Visiting Professor at the Department of Mathematics of the University of California Irvine (1990-1991). His PhD is from the Johns Hopkins University (1978) in Baltimore. His undergraduate studies were at the National Technical University of Athens in Greece, from where he graduated with a Diploma in Chemical Engineering (1973). His research interests and publications are on dynamical systems, social network analysis, social media data analysis, digital humanities and computational social science. Boudourides was recently awarded a Robert K Merton Visiting Research Fellowship from the Institute for Analytical Sociology (IAS) at Linköping University in Sweden.

Candice Bradley is a quantitative social scientist with over two decades experience teaching statistics and research methods at the graduate level. Trained at UC Irvine’s interdisciplinary Social Relations program, Bradley followed her doctoral studies with a Fulbright Fellowship to Africa, engaging in fieldwork documenting the start of Kenya’s fertility decline. As a quantitative anthropologist, a rather rare specialization in a discipline not known for number crunching, Bradley has published research using multivariate analyses in such areas as demography, academic advancement of women, cross-cultural methodology, deep ecology, and time allocation. Bradley earned her PhD and masters from UC Irvine in social sciences.

Ernest Chan

Ernest Chan

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Currently teaching:
Financial and Risk Analytics

Ernest Chan is the managing member of QTS Capital Management, LLC. His career has focused on the development of statistical models and advanced computer algorithms to find patterns and trends in large quantities of data. Chan has applied his expertise in statistical pattern recognition to projects ranging from textual retrieval at IBM Research, mining customer relationship data at Morgan Stanley, and statistical arbitrage trading strategy research at Credit Suisse First Boston, Mapleridge Capital Management, Millennium Partners, MANE Fund Management, EXP Capital Management. He is the author of Quantitative Trading: How to Build Your Own Algorithmic Trading Business and Algorithmic Trading: Winning Strategies and Their Rationale. He is also a popular financial blogger at Chan has MS and PhD degrees in theoretical physics from Cornell University and an BSc from University of Toronto.

Anil Chaturvedi has over 25 years of professional experience at companies such as AT&T Bell Labs, Kraft Foods, Capital One, and Accenture. He has provided consulting services to Bank of America, Fannie Mae, Johnson & Johnson, and Proctor & Gamble. Chaturvedi's general research interests include the areas of multivariate analysis – multi-linear models, information mining, and business insights. He co-authored a book, Mathematical Tools for Applied Multivariate Analysis, with the late Professor Paul Green (University of Pennsylvania) and Professor J. Douglas Carroll (Rutgers University). Chaturvedi has patented and published analytical methods for direct marketing, information mining, market segmentation, new product development, product positioning, customer loyalty, consumer promotion mix optimization, and brand btrategy. He earned his PhD from Rutgers University and PGDM from IIM Ahmedabad, India.

Kimberly Chulis is cofounder and CEO of Core Analytics, LLC. With over 20 years of professional advanced analytics experience, Chulis demonstrated analytic expertise on projects at numerous companies and industries, including Microsoft, IBM, Dell, WellPoint, HCSC, UHG, Great West, Accenture, Ogilvy, MSN, Sprint/Nextel, Commonwealth Edison, TXU, Eloyalty, SPSS, General Motors, Allstate, Cendant, and others in the financial, telecommunications, healthcare, energy, nonprofit, retail, and educational sectors. Her current research focus is on Social Media Behavioral Applications, Big Data, Applied and Predictive Analytics. Her secondary focus is social media as a platform to drive positive public health, disease-related community support, early detection and intervention for healthcare outcomes. Chulis holds a PhD from Purdue University's Health and Human Sciences Consumer Behavior program, and a masters degree in economics with a focus on health economics and econometrics from the University of Illinois at Chicago. She is faculty in the MS Predictive Analytics program at Northwestern University since 2014, and served in the role of Director, Business Analytics Certificate Program at University of Chicago Graham School.

Mark Clare, founder of New Value Streams Consulting, has more than 20 years of experience in knowledge management, strategic change and informatics with Fortune 200 companies, including 3M and Allstate. His previous executive positions include vice president of knowledge and informatics management at Parkview Health, a nine-hospital system in northeast Indiana. Clare is author of many publications, including the book Knowledge Assets and a series of articles in KM Review on “Solving the Knowledge-Value Equation.” He holds a patent in artificial intelligence and has several more patents pending. Clare has an MS in physics, an MA in analytic philosophy and a Six Sigma Black Belt.

Kathryn Daugherty is a manager, revenue management and data science, at Universal Parks & Resorts. Over the last several years, her work has focused on modeling, visualization, strategy, data governance and ad hoc analysis. Previously, she held several positions at Disney Parks & Resorts, where she worked in analytics, revenue management, pricing and finance roles. Daugherty has also held finance positions at Lockheed Martin, banking positions at JPMorgan Chase and US Bank and served as a graduate teaching assistant at both Northwestern University and Rollins College. She received her MS in predictive analytics from Northwestern University, her MBA with specializations in finance and management from Rollins College and a BA in economics from the University of Colorado at Boulder. Daugherty holds a lean six sigma green belt certification, a six sigma green belt certification, and is a certified project management professional (PMP).

John Derwent is an experienced learning professional with an analytical bent and is currently adjunct faculty and program advisor for the Certificate in Predictive Business Analytics program and adjunct faculty with the Masters of Science in Predictive Analytics program at Northwestern University. After completing his graduate work, he moved into the world of corporate education and development practicing mainly in the software and technology industries. Most recently, Derwent led content and offering strategy for education services in the business analytics area with SPSS, Inc and IBM. His main professional goal is to help people understand how mathematics can improve businesses and the world. Derwent earned his PhD at Northwestern University in applied mathematics.

Sharon Dill is an Information Technology professional with 35 years’ experience. She recently retired from the Professional Association of Diving Instructors (PADI) where she was the Chief Information Officer and the Chief Data Officer. Throughout all the technology implementations over Sharon’s 28 years at PADI, data was always at the center and a focus. Sharon created an enterprise data rich environment that allowed for strategic planning and business decisions to be made based on data-driven insights. She also has vast knowledge on global data requirements, third party integrations data sharing and implementing self service business intelligence with data warehouse implementation. Sharon has a doctorate in computer science from Colorado Technical University with an emphasis in Enterprise Information Systems and she is a graduate of Northwestern’s M.S. in Predictive Analytics program.

Carrie Dugan has held a variety of positions instructing and writing curriculum for all undergraduate levels of online mathematics courses. In addition to her teaching experience, she has numerous years of actuarial experience working with both defined benefit pension plans and self-funded health care plans. Some of her current research interests include character theory, graph theory, and game theory. She holds a PhD in pure mathematics from Kent State University and a BS in mathematics with a minor in computer science from Marshall University.

Lawrence Van Fulton is an associate professor at Texas State University. His research interests include the application of machine learning, simulation, optimization, statistics, and decision science to aeromedical evacuation, sustainability, and healthcare in general. Currently, he is applying machine learning techniques for classification of brain imagery. He has published in journals including Multivariate Behavioral Research, Pain, Interfaces, Simulation, IIE Transactions on Healthcare Systems Engineering, Journal of Healthcare Management, Journal of Nursing Administration, and many others. Dr. Fulton served a quarter of a century in the U.S. Army Medical Department, attaining the rank of colonel prior to his retirement. His earned PhD in management science is from the University of Texas at Austin, and he holds five separate masters degrees, including a master of science in statistics from UT Austin.

Noah Gift is lecturer and consultant at both UC Davis Graduate School of Management MSBA program and the Graduate Data Science program, MSDS, at Northwestern . He is teaching and designing graduate machine learning, AI, Data Science courses and consulting on Machine Learning and Cloud Architecture for students and faculty. These responsibilities including leading a multi-cloud certification initiative for students. He has published close to 100 technical publications including two books on subjects ranging from Cloud Machine Learning to DevOps. Gift received an MBA from UC Davis, a M.S. in Computer Information Systems from Cal State Los Angeles, and a B.S. in Nutritional Science from Cal Poly San Luis Obispo.  Currently he is consulting startups and other companies, on Machine Learning, Cloud Architecture and CTO level consulting as the founder of Pragmatic AI Labs. His most recent book is Pragmatic AI: An introduction to Cloud-Based Machine Learning (Pearson, 2018).

Phillip Goldfeder

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Currently teaching:
Math for Data Scientists

Philip Goldfeder has worked as a business consultant with Booz & Company (formerly Booz Allen and Hamilton) and as an educator for both traditional and online universities. He is currently a faculty member at several online universities. His consulting specialization is mergers and acquisitions, primarily in the spirits and automobile industries. He earned a PhD in applied mathematics from Northwestern’s Robert R. McCormick School of Engineering and Applied Science.

Lance Levenson is a Senior Data Scientist and Analytics Team Lead at Walmart Labs where he is responsible for architecting, designing, and implementing enterprise level machine learning and analytics products and services for various internal business groups across the globe. Prior to Walmart, he was an analytics consultant working with various trading firms and hedge funds in the Chicago and New York areas, building and implementing quantitative and predictive models using massive financial datasets. Over the course of his career, Levenson has developed many tactical and strategic investment initiatives including relative value strategies, commodity and energy market-making algorithms, fixed income basis/duration/curve trades, real-time dynamic portfolio management frameworks, and advanced-options market-making algorithms. He is an experienced instructor of quantitative disciplines at both the undergraduate and graduate levels, having held instructor positions in the fields of physics, astronomy, mathematics, and methods of teaching mathematics. Levenson also teaches the Advanced Modeling and Risk Analytics courses in the Predictive Business Analytics Program, where he received the 2015 Distinguished Teaching Award. He holds bachelor’s degrees in Astrophysics and Mathematics from Arizona State University and a master’s degree in Financial/Applied Mathematics from the University of Chicago.

Dr. Alianna J. Maren is a researcher and thought-leader in predictive analytics, with four patents, ranging from predictive analytics to knowledge discovery to sensor fusion (the latter was named as Patent of the Week by the New York Times shortly after it was awarded). Her expertise ranges from statistical thermodynamics to model patterns and rapidly-changing systems to text analytics in knowledge discovery to neural networks. As cofounder and chief scientist with EagleForce Associates (later Viziant Corporation), she was key in supporting DIA's panels on knowledge discovery and predictive analytics. Her innovative work at Viziant led to  three of her four patent awards and two rounds of investment funding. As senior scientist with Accurate Automation Corporation, Maren's innovations in neural networks, sensor fusion, and system identification were the basis for receiving over $3.4M in federally-funded SBIR and STTR contracts. She introduced and taught the first course in Knowledge Discovery at Georgetown University, and also Cloud Computing at both George Mason and Marymount Universities Her first book, the “Handbook of Neural Computing Applications” (Academic, 1990), became a landmark in the emerging neural network arena. Maren holds a Ph.D. in physical chemistry from Arizona State University and a bachelor's degree in mathematics from the University of North Dakota.

William T. Mickelson is an applied statistician with more than 25 years of statistical consulting, measurement, evaluation and survey research experience in both academia and industry. Mickelson was on the faculties of the University of Idaho, the University of Nebraska–Lincoln, and the University of Wisconsin–Whitewater. He has also worked with the RAND Corporation as a policy analyst and with Chamberlain Research Consultants of Madison, Wisconsin, as a senior consultant and division director. Mickelson has taught across the entire spectrum of research and statistical topics, including applied statistics, probability, modern robust and nonparametric methods, multivariate methods, regression, experimental design and ANOVA and mathematical and statistical modeling. His current research interests include the robustness of commonly used statistical tests and predictive models, the use of modern resampling and nonparametric statistical methods and the teaching and learning of statistical reasoning, thinking and literacy. Mickelson received his PhD in educational psychology in quantitative methods from the University of Wisconsin–Madison and a master’s degree in statistics from Michigan State University.

Thomas W. Miller is faculty director of the data science program at Northwestern University. He designed distance learning training materials for the program, including courses in advanced modeling techniques, marketing analytics, data engineering, and machine learning. During the 2019-20 academic year, he will be teaching artificial intelligence and deep learning, natural language processing, and knowledge engineering. Miller has published six books about data science with Pearson Education (the series "Modeling Techniques in Predictive Analytics"). Miller also owns a publishing and consulting firm, Research Publishers LLC, located in Manhattan Beach, California. He provides data science consulting services and is actively involved in developing chatbot and survey research applications. Earlier in his career Miller worked as a network engineer for NCR Comten and as a field engineer and account representative for Hewlett-Packard Company. He also directed the A. C. Nielsen Center for Marketing Research and taught market research and business strategy at the University of Wisconsin-Madison. Miller holds a doctorate in psychology and a master's degree in statistics from the University of Minnesota, as well as an MBA and master's degree in economics from the University of Oregon.

Melvin Ott is owner and president of Melvin Ott & Associates, LLC, a statistical and economic consulting firm. He has made presentations for private companies on predictive modeling in healthcare, banking, and market research. Ott has worked with predictive models for more than thirty years. His consulting practice focuses on applications in healthcare payment methodologies and expert witness testimony plus adjunct teaching at several universities in statistics, mathematics, and market research. Previously, Ott was director of research and database for Ingenix, Inc., director for data management at a large medical center (responsible for SAS online access to the medical center data and performed the survival analysis for the kidney transplant program) and was a director for reimbursement for a Blue Shield plan. He is a SAS programmer and Visual Basic programmer with online logistic regression and simulation applications. He holds a PhD in statistics from Oregon State University and a master's degree in mathematics from Utah State University.

Jamie Riggs works with the Statistics for Physical and Engineering Science Institute and specializes in statistical methods used in astronomy, physics, and engineering. She has worked with researchers from the Adler Planetarium, the American Association of Variable Star Observers, the Laboratory for Atmospheric and Space Physics, and the National Radio Astronomy Observatory on numerous projects. Riggs was with Sun Microsystems as a senior staff statistician, where she was co-issued three patents, each involving statistical methodologies. She worked on warranty cost estimating using general mixed models, tape library reliability and survivability, spare parts logistics time and location forecasting, and a number of designed experiments. Riggs worked as a mathematical scientist at The Boeing Company, having worked with W. Edwards Deming and his associates. Riggs worked with the Forecast Systems Laboratory of the National Oceanic and Atmospheric Administration on meteorological forecasting. Riggs earned her PhD in applied statistics and research methods from the University of Northern Colorado and MS degrees in applied mathematics and statistics and physics from Wichita State University.

Dan Roth

Dan Roth

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Currently teaching:
Project Management

Daniel Roth is president and owner of Roth Associates, a small business focused on advising world-class clients on all aspects of project/program/portfolio management, technology-enabled business process improvement and management and organizational performance improvement. He has extensive experience in the aerospace and defense industry and in public and private sector consulting across nearly all sectors/industries, and academia. He is a graduate of the Defense Acquisition University and holds certifications from the Project Management Institute of Project Management Professional (PMP) and Scheduling Professional (SP). He is a current candidate for the MCP (Microsoft Certified Professional - Project) credential. Roth has an BS in engineering from Purdue University, a MS in engineering from California State Polytechnic University, and an MBA from the University of Southern California.

Nethra Sambamoorthi is an adviser for CRMportals, a global analytics consulting company. In addition to delivering client solutions, he specializes in building best practices in data capture, designing innovative solutions and creating thought leadership in consumer dynamics and marketing intelligence. Sambamoorthi has produced many of the best practices in predictive modeling across multiple industries—credit cards, auto insurance, investment services, retail, CPG and pharmaceutical marketing. He previously was an entrepreneur, focusing on developing and delivering real-time email marketing systems and ROI trends. He has also worked with XLmarketing Corporation, Acxiom Corporation, Schering Plough Corporation, American Express and Prudential, using marketing analytics to address regulatory aspects while optimizing for return on investment and for consumer engagement. Sambamoorthi received a PhD from the University of Pittsburgh, specializing in applied multivariate statistics, and an MA in mathematics and an MSc in statistics from the University of Madras.

A CFA charter holder and ex-hedge fund quant, Dipyaman Sanyal is the founder of dono consulting, a boutique quantitative research and financial modeling firm. A Commonwealth scholar who is recognized as one of the top data science academicians in India (2017 and 2018, Analytics India Magazine), Deep has also led three of the top-ranked analytics programs in India. Along with teaching at Northwestern SPS, he is the Program Director for the Postgraduate Program in Data Science and Machine Learning (PGPDM) offered jointly by the University of Chicago, IBM and Jigsaw Academy in India.
Deep spent most of his corporate life in New York as a quantitative and financial analyst for companies like Dow Jones Indexes, The Blackstone Group, Sorin Capital, and Thomson Reuters. He has a MS in Applied Economics from University of Texas at Dallas and a MA and BA in Economics from Jadavpur University, Kolkata. He is a PhD candidate in one of India’s leading economics programs at Jawaharlal Nehru University.

Marianne Seiler is a senior principal in Accenture’s customer analytics practice. She works with global marketing, sales and customer service leaders to drive growth and shareholder value through the application of analytics. She specializes in helping clients restructure organizations, reengineer processes, implement enabling technologies and establish performance metrics to convert analytic insights into market actions. Her research and writing is focused on data-driven marketing, high-performance customer management and analytics application in customer-facing functions. Seiler previously held executive positions in marketing and business development at Viacom, Harte Hanks and Dow Jones. She has a PhD in management from Claremont Graduate University and an MBA from the University of Texas at Austin.

Brad Smith currently works for a professional baseball organization. Previously, he served as the assistant director of sports analytics and a research assistant in the Brain, Behavior, and Emotion Lab at the University of Nebraska-Lincoln. Prior to these positions, Smith worked for 5 years as an assistant baseball coach at UNL, and an actuary for nearly 3 years. In 2006, he received the Associate of the Society of Actuaries designation before returning to graduate school. Smith received a BS and MS in mathematics from Pittsburg State University, an MS in statistics from the University of Nebraska and is completing a PhD in educational psychology with a specialization in qualitative, quantitative and psychometric methods from the University of Nebraska.

Syamala Srinivasan has over 30 years of industrial and academic experience in analytics applied to solve business problems. Currently, Syamala is leading the business analytics practice at CGN Global, Inc. She also teaches at National Louis University in the department of mathematics. Prior to CGN, she worked at Caterpillar Inc., at various technical and management positions for 22 years. She started and developed the Department of Analytics and was the director of analytics before retiring from Caterpillar, focusing on developing and deploying analytical solutions to complex business problems in the entire value chain of product development, manufacturing, supply chain, marketing, and sales. She developed innovative techniques when solving complex business problems and received two U.S. patents. One of those patents was used to spin off a new startup company. Her prior academic appointments include Bradley University, Chicago State University, Northern Illinois University, and Colorado State University. Srinivasan has a PhD in statistics and a MS in statistics from Colorado State University. She has several management and leadership certificates from Wharton & Kellogg’s school of business.

Irene Tsapara has worked in the financial industry for 5 years as a financial engineer, building financial algorithms for trading systems at Goldman Sachs/Hull Trading and Hedge Fund Research company. She has taught for over 20 years in universities across the US and Europe and speaks English and Greek fluently and she has a good knowledge of French and Spanish. Tsapara earned her PhD in mathematical computer science from University of Illinois with a focus in computational learning theory and universal algebra. She holds a masters in computer science from University of Illinois and a bachelors in mathematics from University of Patras.

Donald Wedding has over twenty years of experience in the field of Data Science. He has worked in a variety of industries including Banking, Insurance, and Telecom. He has also spent time as a freelance consultant and spent over 10 years working at the SAS Institute. He currently works as a Customer Facing Data Scientist for Data Robot. Dr. Wedding joined the faculty of Northwestern in 2013 and has developed and taught a variety of courses. He is a frequent presenter on analytic topics at conferences, user groups and industry meetings. He is particularly interested in segmentation and cluster analysis and machine learning algorithms. He received his PhD in Engineering Systems from the University of Toledo, where he specialized in machine learning and expert systems. He has an MS in Engineering from the University of Toledo, an MS in Management from the University of Akron and an MS in Data Mining from Central Connecticut State University. He is also a graduate of the Stonier Graduate School of Banking.

Joe Wilck has been teaching analytics, operations research, and systems engineering courses since 2006. His research specialization is in applied optimization, and his research has been funded by the National Science Foundation, the Department of Energy, and industry. He is a member and volunteer for a number of professional organizations, including INFORMS. He is a licensed and registered professional engineer. Wilck received his PhD in industrial engineering and operations research from Pennsylvania State University, and his MS and BS from Virginia Tech in industrial and systems engineering.

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