Faculty Director

Kartik Hosanagar
The Wharton School
John C. Hower Professor
Professor of Operations, Information and Decisions
Research Interests: trust in AI; impact of algorithms on consumers and society
Featured Course: OIDD 399, 699, 899: AI, Business, and Society
Affiliated Faculty

Hamsa Bastani
The Wharton School
Assistant Professor of Operations, Information and Decisions
Research Interests: algorithmic decisions; algorithmic design; natural language processing (NLP) systems for online trafficking; meta-learning

Ryan Dew
The Wharton School
Assistant Professor of Marketing
Research Interests: marketing applications of machine learning (ML); algorithmic decisions; machine learning (ML) for CRM and branding

Edgar Dobriban
The Wharton School
Assistant Professor of Statistics
Research Interests: theoretical foundations of deep learning; machine learning (ML) for vulnerability identification; large-scale machine learning (ML)
Featured Course: STAT 991: Topics in Deep Learning

Amit Gandhi
The Wharton School
Professor of Economics and Marketing
Research Interests: quantitative analytics; economics of technology; impact of technology; cloud computing service

Michael Kearns
Penn Engineering
Professor and National Center Chair
Research Interests: machine learning; algorithmic fairness; differential privacy; algorithmic game theory; quantitative finance
Featured Course: CIS 399: Science of Data Ethics

Steven O. Kimbrough
The Wharton School
Professor of Operations, Information and Decisions
Penn Arts & Sciences
Professor of Philosophy
Research Interests: agent-based modeling; machine learning (ML) for constrained optimization; algorithmic decisions

Brian Litt, MD
Perelman School of Medicine
Professor of Neurology and Professor of Bioengineering
Research Interests: computational neuroscience; deep brain stimulation; network neuroscience
Featured Center: Penn Health-Tech

Jason H. Moore, PhD, FACMI
Perelman School of Medicine
Edward Rose Professor of Informatics
Director, Institute for Biomedical Informatics
Research Interests: Artificial intelligence; automated machine learning; biomedical data science; biomedical informatics
Featured Center: Institute for Biomedical Informatics

Daniel Rock
The Wharton School
Assistant Professor of Operations, Information and Decisions
Research Interests: valuation of AI-related skill; impact of AI on the workforce; measurement of AI-related capital investment; machine learning in economics

Aaron Roth
Penn Engineering
Professor of Computer and Information Science
Research Interests: algorithmic fairness; algorithmic game theory; private data analysis; algorithmic foundations of data privacy

Weijie Su
The Wharton School
Assistant Professor of Statistics
Research Interests: deep learning (DL) for statistical estimation; privacy-preserving machine learning (ML); large-scale optimization
Featured Course: STAT 991: Optimization Methods in Machine Learning

Prasanna Tambe
The Wharton School
Associate Professor of Operations, Information and Decisions
Research Interests: HR applications of AI & data science; impact of AI on the labor market
Featured Course: OIDD 255X: AI, Business, and Society

Lyle Ungar
Penn Engineering
Professor of Computer and Information Science
Research Interests: explainable AI; natural language processing (NLP) methods for psychology and medical research; social media analysis; bioinformatics
Featured Course: CIS 520: Machine Learning

Kevin Werbach
The Wharton School
Professor of Legal Studies & Business Ethics
Research Interests: AI and Blockchain; AI ethics; algorithmic accountability; impact of AI on social systems
Featured Course: LGST 242/642: Big Data, Big Responsibilities: The Law and Ethics Of Business Analytics

Lynn Wu
The Wharton School
Associate Professor of Operations, Information and Decisions
Research Interests: impact of AI; AI-enabled innovation; data analytics for economic indicator prediction; biases in emerging technologies

Linda Zhao
The Wharton School
Professor of Statistics
Research Interests: predictive machine learning (ML) models; network formation; predictive model with network data; bayesian methods; signal detection
Featured Program: Data Science Live, Fall 2019; Data Science Live, Spring 2019
Featured Course: STAT471/571/701: Modern Data Mining