Our Faculty Members

Kate Barraclough is the Associate Dean of Master’s Programs with oversight for all MBA and specialized master’s degrees, including the Master of Science in Business Analytics program. She has been with the Tepper School of Business since 2015, where she previously served as the Head of the MBA program.

Barraclough’s research is focused on option pricing, stock option contracts and private investment in public equity.

She holds a Ph.D. in Finance and BA in Economics and Commerce from the Australian National University.

Mattia Ciollaro joins the Tepper School of Business as adjunct professor of business analytics. He received a Ph.D. in Statistics from Carnegie Mellon University in 2016. After completing his doctoral studies, he worked as a data scientist and machine learning engineer in both startups and large organizations such as Amazon Alexa and PayPal/Venmo. He is also a co-founder of data captains — a boutique consulting firm — and a consulting professor of business administration at the Fuqua School of Business (Duke University).

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 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’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.

Derek Leben is associate teaching professor of ethics at the Tepper School of Business. His research focuses on principles of fairness and weighing harms from the perspective of a contractarian ethical theory, and how organizations can implement these principles into standards for Al and autonomous systems. He received a Ph.D. from Johns Hopkins University in 2012 and taught ethics at the University of Pittsburgh for 10 years before joining Tepper. In his book, “Ethics for Robots: how to design a moral algorithm” (Routledge, 2018), Leben defends a Rawlsian “maximin” principle for autonomous systems which impact human well-being in the fields of transportation, healthcare and defense. As founder of the consulting group Ethical Algorithms, Leben has worked with governments and companies to develop policies on fairness and benefit for Al and autonomous systems.

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

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.

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.

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.

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.

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’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.

Beth Walter is assistant teaching professor of business communication at the Tepper School of Business. She teaches undergraduate and graduate-level courses in business communication, presentation skills, professional writing, data communication, executive presence and interpersonal managerial communication.

Her most recent research focuses on pedagogical methods for making the contexts and conventions of business writing and their differences more explicit and accessible for business students. Beth also researches effective strategies for corporate communication about social responsibility initiatives.

Beth designs and delivers both customized and open-enrollment strategic leadership training programs for Tepper Executive Education. Currently she is teaching Executive Presence, Data Communication and Improv-Based Communication for Leading Teams.

From 1996-2010, Beth served as president and CEO of Spotlight Performing Art, Inc. in Pittsburgh, where she directed over three dozen stage productions. Drawing on her former experience as an actress, director and entrepreneur, Beth helps professionals at all stages of their career apply classic performance principles to communicate with impact and collaborate in teams.