Robert Wharton, PhD
Program Director, Professor
Before coming to the Gabelli School of Business, Dr. Wharton worked as a manager in corporate planning at AT&T and consulted with the National Institutes of Health and the U.S. Department of Defense. His research interests include statistical modeling, statistical distribution theory, and analysis of the publishing industry.
He received his bachelor’s, master’s, and doctoral degrees from Temple University.
Chaitra H. Nagaraja, PhD
Before joining the Gabelli School of Business faculty, Dr. Nagaraja taught statistics at the London School of Economics and worked as a research mathematical statistician at the U.S. Census Bureau in Washington, D.C. She is interested in macroeconomic applications of statistics, with a particular emphasis on house price indices.
She received her BS in mathematics with a specialization in economics from the University of Chicago and her MA and PhD in statistics from the Wharton School at the University of Pennsylvania.
Alex B. Markle, PhD
Dr. Markle conducts research on judgment and decision-making, bringing together insights from economics and psychology to better understand how individuals make decisions, why their decision-making processes often deviate from rational standards, and what strategic implications their decision-making errors and biases may have. His work has been published in Management Science and the Strategic Management Journal.
Prior to joining the Gabelli School of Business in 2012, Dr. Markle spent three years as an assistant professor at the Hong Kong University of Science and Technology. Before that, he was a postdoctoral research fellow at New York University's Stern School of Business. He has taught courses in strategy, judgment and decision-making, and negotiation at the graduate and undergraduate levels.
He earned his BS in electrical and computer engineering from Carnegie Mellon University and his PhD in managerial and organizational behavior from the University of Chicago Booth School of Business.
Frank Yoon, PhD
Adjunct Associate Professor
Frank Yoon is director of statistical informatics at Truven Health Analytics, part of the IBM Watson Health business, where he leads statistical applications in health policy research and supports the development and implementation of administrative databases in health policy and decision making. Dr. Yoon is an expert in designing and analyzing observational studies for a broad array of healthcare innovations and reforms, including primary care and mental health service delivery and provider performance measurement across Medicare, Medicaid, and commercial contexts. In program evaluations and data analytics, he develops and implements statistical frameworks to ground evidence that policymakers in federal and state agencies can use to make decisions about program and policy effectiveness.
He completed his PhD in statistics at the Wharton School of the University of Pennsylvania and trained as a postdoctoral fellow in healthcare policy at Harvard Medical School.
Matt Murphy is a manager of marketing science at Annalect, where he leads the development of web-based applications to provide front-end for attribution modeling and optimization of media spend using R Shiny, Docker and AWS EC2. He also leads multichannel and cross-device attribution engagements for a range of Fortune 100 companies. At Annalect, he created an internal R code library for performing multichannel attribution modeling, automated processing of 1TB+ log files and clickstream data with Apache Spark and R, and created data pipeline and R scripts to automate the construction of hierarchical topic models from clickstream data. He also manages and mentors new entry-level analysts to Annalect on R programming and statistical theory. His prior work has entailed serving as senior analyst of academic programs and finance in the office of the provost at Fordham University, program manager of the IBM Global Team at Ogilvy & Mather, and data analyst at Stroz Friedberg (an Aon Company).
He earned his MS in Applied Statistics and Decision-Making from the Gabelli School.