Our online MSBA faculty are among the world’s foremost experts in business analytics. Several hold joint appointments in the Tepper School of Business — which is top‐ranked in information systems and production/operations management — as well as Carnegie Mellon’s #1‐ranked School of Computer Science. Cutting across multiple domains, our faculty have diverse research expertise and provide students an impressive array of thought leadership. Notably, the faculty in the MSBA program represent among the very best of the school’s intellectual capital: We believe in classrooms led by full‐time experts recognized for their research and academic leadership. Their areas of expertise and research include accounting, business communication, economics, finance, marketing, operations research, operations management, organizational behavior and business technologies.
Gérard P. Cornuéjols, Ph.D.
IBM University Professor of Operations Research
Gérard P. Cornuéjols’ teaching and research interests include many areas of operations research and mathematics, including optimization, integer programming, graph theory, and statistics. He has written several textbooks, including the seminal works Optimization Methods in Finance and Integer Programming. His research has been recognized with multiple awards, including the Frederick W. Lanchester Prize (1977, 2015), the Fulkerson Prize (2000), and the John von Neumann Theory Prize (2011). In 2016, Cornuéjols was also elected as a member of the National Academy of Engineering.
Cornuéjols holds a Ph.D. from Cornell University and a Bachelor of Science from École des Ponts ParisTech in France.
Yan Huang, Ph.D.
Assistant Professor of Business Technologies
Yan Huang teaches the Modern Data Management course in the Master of Science in Business Analytics program, and her research explores innovative applications for technologies in enterprises and businesses. Her publications investigate topics such as social media, open innovation, crowdsourcing, the platform economy, algorithmic bias and data-driven decision making. She is a recipient of the INFORMS eBusiness Best Paper Award and the Management Science Meritorious Service Award.
Huang holds a Ph.D. in Information Systems and Management from Carnegie Mellon University and a BS from Tsinghua University. Prior to joining the Tepper School, she was Assistant Professor of Technology and Operations at Ross School of Business, University of Michigan, from 2013 to 2018.
David Leland Lamont, MBA
Associate Teaching Professor
Director, Management Games
David Leland Lamont’s research and teaching interests include team decision making processes, competitive dynamics and business analytics. He also works in venture capital and turnaround management. Since 2002, Leland Lamont has restructured several companies in extreme financial distress, been involved as an executive in multiple start-up ventures, and raised more than $8 million in venture capital.
He holds an MBA and two bachelor’s degrees from Carnegie Mellon University and two master’s degrees from the University of Pennsylvania.
Zachary Chase Lipton, Ph.D.
Assistant Professor of Business Technologies
Zachary Chase Lipton has worked as a scientist at Amazon Web Services AI and as a freelance software engineer. He is the co-founder of a start-up, Trace Health, and a recipient of a National Library of Medicine Training Grant from the Department of Biomedical Informatics.
Zachary Lipton earned a Ph.D. and MS, both in computer science, from the University of California, San Diego, and holds a BA in Mathematics-Economics from Columbia University.
Read more about Zachary: MSBA Professor Zachary Lipton: From Jazz Musician to Machine Learning Innovator
Dokyun Lee, Ph.D.
Assistant Professor of Business Analytics
Xerox Junior Faculty Chair AY 2017-2018
Dokyun Lee studies the application, development and impact of AI in business and society to extract consumer, market, and managerial insights. His top streams of research are 1) Interpretable machine learning for business, 2) economics of unstructured data, and 3) unintended consequences of AI.
Lee has worked at multiple tech start-ups, at Blackrock as a quantitative software engineer and at Thomson Reuters as a machine learning contractor, building a natural language processing engine for financial data.
He holds a Ph.D. from the Operations, Information and Decisions department of the University of Pennsylvania’s Wharton School; an MS in Statistics from Yale University, and a BS in Computer Science from Columbia University.
Alan Montgomery, Ph.D.
Professor of Marketing
Alan Montgomery’s teaching and research interests include electronic marketing, clickstream analysis, price optimization, Bayesian statistics and decision theory. He is faculty member of both the Tepper School of Business and the School of Computer Science, department of Machine Learning. Montgomery has consulted for businesses including PNC Bank, Bacardi, Sentrana and ACE Hardware. He serves on multiple Tepper School committees and is the research director for the business school’s PNC Center for Financial Services Innovation.
Montgomery earned both his Ph.D. and MBA from the University of Chicago and holds a BS in Economics from the University of Illinois at Chicago.
Evelyn Pierce, MFA
Teaching Professor of Business Management Communication
Evelyn Pierce’s research and consulting focus on the development and implementation of executive problem-solving skills in communications; corporate leadership and communication strategies; cross-team collaboration; and team building. She has consulted with organizations including PNC Bank, Alcoa and Bayer.
In her 24 years with the Tepper School, Pierce has served on eight committees including those dedicated to curriculum development and oversight; academic integrity and policy; and new program development. She also is the co-founder of the Communications Studio, a mentoring program in the Tepper School’s Accelerate Leadership Center.
Pierce holds an MFA from the University of Pittsburgh and a BA from the University of Mississippi.
R. Ravi, Ph.D.
Andris A. Zoltners Professor of Business
Rohet Tolani Distinguished Professor
Professor of Operations Research and Computer Science
R. Ravi’s main research interests are in models and methods in discrete optimization and their applications in the intersection of business and technology. He also investigates networks and their effects in business and customer-centric marketing using optimization methods on large data sets. He has performed research and consulting projects for companies including Microsoft, Google, Bosch and BASF.
The U.S. National Science Foundation has funded Ravi’s research since he joined the Tepper School in 1995. Since then, he has supervised more than 15 doctoral students and developed more than six new graduate classes. Ravi is the recipient of the MBA teaching award and was named a Fellow of INFORMS, the leading institute for operations research and business analytics.
He holds a Ph.D. in Computer Science from Brown University and Bachelor of Technology in Computer Science from the Indian Institute of Technology, Madras.
Bryan R. Routledge, Ph.D.
Associate Professor of Finance
Bryan Routledge’s broad-ranging research interests include:
- Applying quantitative text analysis and natural language processing to economic and financial research questions, e.g., how management discussion and analysis conveys risk, and how Twitter can track public opinion.
- The quantitative properties of asset prices and macroeconomics, such as the positive correlation of asset returns with future economic growth.
- Understanding the connection between risk attitudes and asset pricing dynamics.
- The risk and return properties of oil prices.
He teaches courses including Finance, Financial Economics and Alpha: Implementing Quantitative Strategies.
Routledge holds a Ph.D. from the University of British Columbia and a Bachelor of Commerce from Queens University.
Param Vir Singh, Ph.D.
Carnegie Bosch Associate Professor of Business Technologies
Param Vir Singh’s main research interests are digital economy and, in particular, sharing economy, crowdsourcing, social media, fin-tech and mobile. He typically works with big data sources to help him provide analysis at novel levels of granularity. He also employs skills including structural models, machine learning, computer vision, natural language processing and Bayesian methods.
Singh’s research has won several best paper awards and is frequently cited by mainstream media. He also is the recipient of the INFORMS Information Systems Society’s prestigious Sandy Slaughter Early Career award.
Singh earned his Ph.D. and MS, both in Information Systems, from the Foster School of Business, University of Washington.
Fallaw Sowell, Ph.D.
Associate Professor of Economics
Fallaw Sowell’s teaching and research interests include econometrics, time series and microeconomics. He has consulted with the Postal Rate Commission, the Refractories Institute, Trane/American Standard, and West Chester Capital, and worked for both the Federal Reserve Board of Governors and the Commodities Futures Trading Commission.
Sowell has held leadership roles at the Tepper School including deputy dean of Master’s Programs and director of the MBA Program. He was awarded the MBA teaching award twice.
He earned his Ph.D. and MA in Economics from Duke University, MS in Statistics from University of North Carolina, Chapel Hill, and BA in Mathematics and Economics from Mercer University.
Willem-Jan van Hoeve, Ph.D.
Carnegie Bosch Associate Professor of Operations Research
Willem-Jan van Hoeve’s research focuses on developing new methodologies for solving discrete optimization problems and the application of these methods to real-world problems. He recently developed a novel framework for discrete optimization based on decision diagrams and has also made research contributions in the areas of constraint programming and hybrid optimization methods.
Van Hoeve is the recipient of National Science Foundation funding and two Google Faculty Research Awards. He has consulted for companies including Charter Steel, Chevron, AIMMS, PNC Bank, Bosch/Siemens and BP. Van Hoeve, a two-time winner of the Tepper School’s MBA Teaching Award, heads the online Master of Science in Business Analytics program.
He holds a Ph.D. in Computer Science from the University of Amsterdam, Centrum voor Wiskunde en Informatica, and an MS in Applied Mathematics from the University of Twente.
Anita Williams Woolley, Ph.D.
Associate Professor of Organizational Behavior and Theory
Anita Williams Woolley’s groundbreaking research on team collective intelligence, published in Science in 2010, garnered coverage in more than 700 media outlets, including Forbes Magazine, the New York Times and NPR. Her organizational behavior and theory research, published in numerous professional journals, has been funded by grants from the National Science Foundation, the U.S. Army Research Institute, the Defense Advanced Research Projects Agency and private corporations.
She teaches courses including Managing People and Teams, Managing Organizations, Organizational Behavior, Workshop in Behavioral Research II.
Williams Wooley earned her Ph.D. in Organizational Behavior and master’s and bachelor’s degrees, all from Harvard University.
Joseph Xu, Ph.D.
Assistant Professor of Operations Management
Joseph Xu’s main research interest is empirical operations management, specifically in the areas of impact evaluation of firm policies and data-driven modeling. He has worked on numerous projects in the domain of e-commerce supply chain management, and revenue management in the sports entertainment industry. Courses he teaches include Operations and Supply Chain Analytics.
Xu holds a Ph.D. in Operations and Information Management from the University of Pennsylvania and a BS in Operations Research and Information Engineering from Cornell University.
To learn more about the Tepper School’s online Master of Science in Business Analytics, fill out the fields below to download a free brochure. If you have additional questions, please call 888-876-8959 or 412-238-1101 to speak with an admissions counselor.