Abid Ali has worked in consulting and product companies over the years. 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. He is a perpetual learner and has acquired multiple advanced degrees over the years and several certifications. He also teaches in the Master of Analytics program at University of Chicago and has taught at Columbia University in their Master of Applied analytics program. He delivers guest lectures in different universities and joins different panels on data topics. He believes in sharing knowledge and cares deeply about sustainability goals.
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.
Atef Bader
Currently teaching:
Database Systems
Foundations of Data Engineering
Data Engineering with Go
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.
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.
Tom Miller is faculty director of the data science program at Northwestern University. He started with the program when it was called predictive analytics and for the past ten years has been responsible for growing the curriculum, introducing specializations, and designing numerous distance learning courses. During the 2020-21 academic year, he will be teaching natural language processing, knowledge engineering, and unsupervised learning methods. Tom is the author of six textbooks about data science published by Pearson Education. He also owns Research Publishers LLC, a California company that, in addition to publishing books and periodicals, provides research and consulting, measurement services, event forecasting, and natural language processing solutions. Most recently, Tom has been developing a new journal, Data Science Quarterly, promoting data science as a discipline and showing its relevance to social and political discourse. The online version is available at https://www.data-science-quarterly.com.
David Ostrowski has over 30 years professional experience in software development between the areas of connected vehicle analytics, Intelligent controls, manufacturing simulation, agent-based modeling, database and real-time data acquisition. David currently works in Ford Motor Product Development Business Office as the Artificial Intelligence Leader. Dr. Ostrowski also has over 25 years experience as an adjunct professor at several universities teaching courses recently in Artificial Intelligence, Functional Programming, Analysis of Algorithms and Theory of Computation. He received his B.B.A. in Management Information Systems from University of Michigan-Dearborn as well as an M.S. and Ph.D. in Computer Science from Wayne State University. Dr. Ostrowski has fifty refereed publications, ten patents, two book chapters, numerous technical reports, and participates within several technical committees including IEEE TEC transactions, IEEE ICSC, IEEE AI4I and IEEE ICIOS.