Affiliated Faculty

Faculty Director

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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

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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

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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

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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

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Amit Gandhi

The Wharton School
Professor of Economics and Marketing

Research Interests: quantitative analytics; economics of technology; impact of technology; cloud computing service

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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