Predictive Analytics

Masters in Predictive Analytics Faculty

Edward Arroyo

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.

Currently teaching:Database Systems and Data Preparation

Lynd Bacon

Lynd Bacon is an applied behavioral scientist, quantitative methodologist, and technology entrepreneur. Bacon was elected in 2013 as a Statistics in Marketing program chair for the American Statistical Association. He is the president of Loma Buena Associates, a technical research and design consultancy. His areas of expertise include predictive analytics, new product development, marketing and social science measurement, and database applications. Bacon has 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. Bacon has 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 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.

Currently teaching:Database Systems and Data Preparation

Atef Bader

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.

Currently teaching:Database Systems and Data Preparation

Nathan Bastian

Nathan Bastian is a leader, practitioner, researcher, and educator of quantitative, economic, computational, and data-driven methods to support the improvement of operational processes, decision-making, performance, and management in healthcare delivery systems, national security and military operations, and humanitarian logistics. He is an experienced operations research analyst, data scientist, and decision engineer who discovers and translates data-driven insights and patterns into effective decisions and actions using scientific computing, mathematics, statistics, and economics to develop decision-support models for descriptive, predictive and prescriptive analytics. Prof. Bastian holds a PhD in industrial engineering and operations research from Pennsylvania State University, an MEng in industrial engineering from Penn State, an MS in econometrics and operations research from Maastricht University, and a BS in engineering management (electrical engineering) with honors from the U.S. Military Academy at West Point.

Currently teaching:Practical Machine Learning

Daniel Baumgartner

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.

Currently teaching:Project Management

Chad Bhatti

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.

Currently teaching:Regression and Multivariate Analysis
Risk Analytics
Capstone Project

Candice Bradley

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.

Currently teaching:Introduction to Predictive Analytics
Special Topics in Predictive Analytics

Anil Chaturvedi

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.

Currently teaching:Practical Machine Learning

Kimberly Chulis

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 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 is currently in an Advanced Analytics technical role at Microsoft, and 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.

Currently teaching:Business Leadership and Communications
Analytics Entrepreneurship

Mark Clare

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.

Currently teaching:Business Leadership and Communications

Kathryn Daugherty

TBA

Currently teaching:Data Visualization

John Derwent

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.

Currently teaching:Introduction to Predictive Analytics

Carrie Dugan

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.

Currently teaching:Introduction to Statistical Analysis
Math for Modelers

Lawrence Fulton

Lawrence Van Fulton is an assistant professor in the Rawls College of Business at Texas Tech University. His research interests include the application of simulation, optimization, statistics, and decision science to aeromedical evacuation, sustainability, and healthcare in general. Prior to his arrival at Texas Tech University, Fulton was an assistant professor in the CIS&QM Department of the McCoy School of Business, Texas State University. He has published in journals including Interfaces, Simulation, IIE Transactions on Healthcare Systems Engineering, Journal of Healthcare Management, Journal of Nursing Administration, as well as many others. Fulton serves on the Editorial Board for Military Medicine and previously for the Journal of Defense Modeling & Simulation. He is currently a co-PI on a $500,000 medical research grant sponsored by the Department of Defense. Prior to his work in academia, 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.

Currently teaching:Applied Time Series and Forecasting

Qung Go

Qung Go has taught project management in the Predictive Analytics Program since 2011 and designed and developed the Project Management for Professionals course and has taught it for nine years. Qung previously taught the capstone course in the MS in Information Technology Program at Northwestern’s Robert R. McCormick School of Engineering and Applied Science and taught project management in the Robert Morris University School of Management. Prior to teaching, Qung worked as a senior executive for a large global information consulting company for more than 27 years. He managed a wide range of projects involving hundreds of personnel resources and implemented leading-edge technologies for major telecommunications, cable and high-tech clients. Qung is a certified project management professional and has an MBA from Northwestern’s Kellogg School of Management.

Currently teaching:Project Management

Phillip Goldfeder

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.

Currently teaching:Math for Modelers

Don Graham

Don Graham has worked for nearly 20 years in engineering and management for Lockheed Martin, AVIS, nad the NYC Board of Education. Graham has taught in higher education on topics ranging from college math, logistics systems, and supply chain optimization. Graham earned his PhD in Transportation Systems Optimization from the University of Central Florida.

Currently teaching:Regression and Multivariate Analysis
Special Topics in Predictive Analytics
Math for Modelers

Ginger Holt

Ginger Holt is a manager in demand forecasting for Hewlett-Packard, working on developing prediction models and advanced analytics. She was a quantitative analyst for BP in 2009–10, developing forecasting methodologies used in trading energy derivatives and developing technical trading strategies. From 2005 to 2009 she was an assistant professor of systems and information engineering at the University of Virginia, where she conducted research on multivariate time-series methodology development. She has researched prediction methodologies in many different applications, including computational finance, environmental networks, cyber security, ecology and econometrics. She obtained her PhD in statistics from Rice University, where her research was in multivariate time-series analysis.

Currently teaching:Applied Time Series and Forecasting

Alianna Maren

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.

Currently teaching:Text Analytics
Special Topics in Predictive Analytics
Applied Time Series and Forecasting

Lorena Martin

Lorena Martin is an applied behavioral scientist, quantitative methodologist, and exercise physiologist at the University of California San Diego. She specializes in the use of statistical methods in the fields of health behavior, epidemiology, and sports. Martin has a strong background in sports and athletics. Martin is an active researcher, consultant, and educator in the areas of health and exercise physiology, where she makes extensive use of traditional explanatory and predictive models. As a former bodybuilder and tennis player that competed at the college, amateur, and professional level, Martin is especially interested in sports analytics. She is an experienced teacher of statistics and an avid user of the R software environment. She holds a doctorate in exercise physiology from the University of Miami and served as program coordinator of the bachelor’s degree program in Sports Medicine at Keiser University.

Currently teaching:Sports Performance Analytics

Matthew McCallum

Matthew McCallum works as a statistical analyst and predictive modeler for Fireman’s Fund Insurance Company. McCallum has worked in predictive analytics as a consultant for algorithmic options traders and financial advisers. He also has more than 10 years’ experience teaching various levels of mathematics at Chicago-area universities, both online and in person. McCallum earned his PhD in applied mathematics from Northwestern.

Currently teaching:Introduction to Statistical Analysis

William Mickelson

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.

Currently teaching:Regression and Multivariate Analysis

Thomas Miller

Thomas W. Miller is faculty director of the Predictive Analytics program. He has helped to design courses for the program, including Marketing Analytics, Advanced Modeling Techniques, Data Visualization, Database Systems and Data Preparation, Web and Network Data Science, Sports Management Analytics, and the capstone course. He has taught extensively in the program, offering courses in modeling methods, machine learning, and web analytics. Before joining the faculty at Northwestern, Miller spent fifteen years in business IT in the computer and transportation industries. 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 is consulting editor to Pearson Education in practical data science. His books with Pearson include Data and Text Mining, Modeling Methods in Predictive Analytics with Python and R, Web and Network Data Science, Marketing Data Science, and Sports Analytics and Data Science. Miller is also owner of Research Publishers LLC and its ToutBay division, a technical publisher and provider of data science services. He has consulted widely in the areas of retail site selection, product positioning, segmentation, and pricing in competitive markets, and has worked with predictive models for more than thirty years. Miller holds a PhD in psychology (psychometrics) and a master's degree in statistics from the University of Minnesota, and an MBA and master's degree in economics from the University of Oregon.

Currently teaching:Introduction to Predictive Analytics
Regression and Multivariate Analysis
Web and Network Data Science
Data Visualization

Melvin Ott

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.

Currently teaching:Generalized Linear Models

Jamie Riggs

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.

Currently teaching:Applied Time Series and Forecasting

Thomas Robinson

TBA

Currently teaching:Sports Management Analytics

Dan Roth

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.

Currently teaching:Project Management

Nethra Sambamoorthi

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.

Currently teaching:Capstone Project
Analytics Consulting

Roy Sanford

Roy Sanford specializes in probability theory, statistical methods, and quality management. He has worked as a consultant, educator, and executive within service, manufacturing, governmental, technical, educational, and research organizations. He is committed to continuous improvement and organizational excellence. Sanford was vice president of quality management at Baxter Healthcare Corporation. He served as a Malcolm Baldrige National Quality Award Examiner for four years. He was inducted into the University of Minnesota Duluth Academy of Science and Engineering in 2009. He has given numerous presentations at professional and industrial forums and has published in the American Journal of Hospital Pharmacy, Communications in Statistics, Simulation, and Computation and the National Productivity Review. He holds a PhD in biometrics and an MS in statistics from the University of Minnesota, as well as an MBA from the Keller Graduate School of Management.

Currently teaching:Introduction to Statistical Analysis

Marianne Seiler

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.

Currently teaching:Capstone Project
Analytics Consulting

Sudha Srinivasan

Sudha Srinivasan is an attending hospitalist at Northwestern Medicine’s Winfield, IL location, Central DuPage Hospital. She has been practicing at CDH for the past 4 years. During this time, she also taught as an affiliate professor of Internal Medicine at Loyola University School of Medicine and provided electronic medical record technical support as an EPIC physician champion. Since 2012, she has also conducted medical reviews as a physician reviewer at Physicians’ Review Network. Her clinical interests include electronic medical records, evidence based medicine, and teaching. She maintains an active board certification in Internal Medicine from the American Board of Internal Medicine. She received her MD from the University of Illinois College of Medicine and completed her Internal Medicine residency at the University of Chicago NorthShore program.

Currently teaching:Marketing Analytics

Syamala Srinivasan

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.

Currently teaching:Regression and Multivariate Analysis
Marketing Analytics
Special Topics in Predictive Analytics

Ken Stehlik-Barry

Ken Stehlik-Barry has worked at SPSS, an IBM company since 1983, providing consulting services to government agencies (including the IRS), major retailers, financial services companies, healthcare organizations and school districts across the country. He has experience with numerous analytical methods, including linear models, clustering techniques, decision trees, structural equation modeling and neural networks. He has worked with many forms of data and all the major databases. Stehlik-Barry has a PhD in political science from Northwestern and has taught as an adjunct faculty member at Dominican University and the University of Illinois at Chicago as well as at Northwestern.

Currently teaching:Applied Time Series and Forecasting

Gordon Swartz

Gordon Swartz is president of GTM Advantage Corporation, and his professional experience includes leadership roles in business-school academia and more than 20 years advising clients in the development and implementation of analytically grounded go-to-market strategies. Swartz is a specialist in the design and optimization of omni-channel marketing systems, analytics-ready™ demand generation programs for marketing mix attribution and optimization, and rapid deployment and utilization of CRM and marketing automation systems. Swartz’s consulting experience spans four continents and includes a wide range of Fortune Global 500 firms in diverse industries, including, IT/software/high-tech, telecommunications, pharmaceuticals and healthcare, and financial services as well as consumer services, electronics and retail. As an academic, Swartz served as the associate dean for executive education at Georgetown University’s McDonough School of Business, where he was responsible for three highly ranked graduate degree programs as well as all non-degree executive courses. Swartz holds a doctor of business administration from Harvard University’s Graduate School of Business, an MBA from Northeastern University, and BS degrees in nuclear engineering and political science from the Massachusetts Institute of Technology.

Currently teaching:Introduction to Predictive Analytics

Irene Tsapara

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.

Currently teaching:Introduction to Statistical Analysis

Donald Wedding

Donald Wedding works at the SAS Institute as a financial services industry consultant for advanced analytics. He previously worked in risk and customer analytics in both the banking and insurance industries. He is a frequent presenter on analytic topics at conferences, user groups and industry meetings. He is particularly interested in segmentation and cluster analysis as machine learning algorithms. Wedding 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 business 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.

Currently teaching:Generalized Linear Models
Capstone Project

Jennifer Wightman

Jennifer Wightman is a principal research scientist at Battelle, the world’s largest nonprofit research and development organization. She works in a data analysis group, working on problems ranging from health to national security, and specializes in machine learning applications. Wightman was previously an assistant professor of mathematics at Coastal Carolina University. She earned a PhD in computational and applied mathematics from Rice University.

Currently teaching:Practical Machine Learning
Advanced Modeling Techniques

Joe Wilck

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.

Currently teaching:Generalized Linear Models