Rakesh Vohra

Founding Director


Through his forward-thinking research in mechanism design, game theory and auction theory, world-renowned scholar Rakesh Vohra has not only bridged the fields of engineering and economics, he’s bridged the gap between theory and practice.

A lifelong academic, Vohra has been teaching Managerial Economics and Decision Sciences at Northwestern University since 1988. He earned his Ph.D. in Mathematics in 1985 from the University of Maryland, his M.Sc. in Operational Research from the London School of Economics, and a B.Sc. (Hon.) in Mathematics from University College London. Currently he is the George A. Weiss and Lydia Bravo Weiss Professor of Economics and Electrical & Systems Engineering, and Penn Integrates Knowledge (PIK) Professor.

To date, he’s authored more than 70 articles and working papers on topics such as resource allocation and optimal pricing mechanisms while also authoring or co-authoring several books.


Michael Kearns

Founding Director


Michael Kearns is Professor and National Center Chair in Computer and Information Science. As well as being Founding Co-Director of the Warren Center, he is also the Founding Director of Penn’s Networked and Social Systems Engineering (NETS) undergraduate program, which blends topics in computer science, network science, and economics and social science.

Michael’s primary research interests are in machine learning, algorithmic game theory, computational social science, and computational finance. He has applied methods and ideas from these areas in a wide variety of practical settings, including algorithmic trading and quantitative finance, technology companies, and regulatory matters.

Michael received degrees from U.C. Berkeley in computer science and math before receiving his Ph.D. in computer science from Harvard in 1989. Before joining the Penn faculty in 2002, he spent the 1990s in basic AI and machine learning research at AT&T/Bell Labs, where he was head of the AI research department.

Michael is a Fellow of the American Academy of Arts and Sciences, the Association for Computing Machinery, and the Association for the Advancement of Artificial Intelligence.


Erol Akçay

Assistant Professor of Biology


Erol Akçay works on the evolution of complex biological and social organization, especially how individuals with conflicting interests evolve to cooperate with each other. He and his group investigate this question in a variety of contexts varying from plant-microbe mutualisms to animal and human behavior.


Yoseph Barash

Assistant Professor of Genetics


Yoseph Barash develops machine learning algorithms that integrate high-throughput data to infer RNA biogenesis and function, followed by experimental verifications of inferred mechanisms.


Danielle Bassett

Eduardo D. Glandt Faculty Fellow, Associate Professor of Bioengineering


Danielle Bassett studies biological, physical and social systems by using and developing tools from network science and complex systems theory. Her broad goal is to isolate problems at the intersection of basic science, engineering, and clinical medicine that can be tackled using systems-level approaches. Recent examples include predicting the extent of learning from human brain networks, resolving the evolution of the neuronal synapse via genetic interaction networks, determining bulk material properties from mesoscale force networks, and isolating individual drivers of collective social behavior during evacuations.


Eric T. Bradlow

K.P. Chao Professor, Professor of Marketing, Statistics, Education and Economics and Faculty Director of the Wharton Customer Analytics Initiative


An applied statistician, Eric T. Bradlow uses high-powered statistical models to solve problems on everything from Internet search engines to product assortment issues. Specifically, his research interests include Bayesian modeling, statistical computing, and developing new methodology for unique data structures with application to business problems.

chris callison-burch

Chris Callison-Burch

Associate Professor of Computer and Information Science


Chris Callison-Burch is interested in crowdsourcing, data-driven machine translation, and statistical natural language processing.


Damon Centola

Associate Professor at the Annenberg School for Communication, Director of the Network Dynamics Group


Damon Centola uses formal and computational models of social networks to study collective human dynamics. He has pioneered the use of online experimental laboratories to demonstrate empirically how changes to the structure of interaction networks can dramatically impact the spread of behavior across large populations, with implications for technology adoption, health behaviors, and social movements.


Francis Diebold

Paul F. and Warren S. Miller Professor of Social Sciences, and Professor of Economics, Finance and Statistics


Francis Diebold’s research interests focus on descriptive and predictive modeling in time-series contexts, with emphasis on financial markets and the macroeconomy. He has published extensively in econometrics, forecasting, finance and macroeconomics, and he has served on the editorial boards of numerous leading journals.


Francis Ditraglia

Assistant Professor of Economics


Francis Ditraglia is interested in theoretical and applied  econometrics, model selection and model averaging, machine learning, and empirical finance.


Charles Epstein

Thomas A. Scott Professor of Mathematics, Chair of Graduate Group in Applied Math and Computational Science


Charles Epstein is interested in partial differential equations, Maxwell’s equations, population genetics, medical imaging, several complex variables, microlocal analysis and index theory, and numerical analysis.


Peter Fader

Frances and Pei-Yuan Chia Professor of Marketing


Peter Fader’s expertise centers around the analysis of behavioral data to understand and forecast customer shopping/purchasing activities. He works with firms from a wide range of industries, such as telecommunications, financial services, gaming/entertainment, retailing, and pharmaceuticals.


Emily Falk

Associate Professor of Communication, Psychology, and Marketing


Emily Falk employs a variety of methods in the performance of her research, with a focus on functional magnetic resonance imaging (fMRI). She has worked to develop a program of research to link neural activity to behaviors at the individual, group and population levels. In particular, she is interested in predicting behavior change following exposure to persuasive messages and in understanding what makes successful ideas spread (e.g. through social networks, through cultures).


Edward I. George

Universal Furniture Professor, Professor of Statistics


Edward I. George’s research interests include hierarchical modeling, model uncertainty, shrinkage estimation, treed modeling, variable selection, and wavelet regression.


Sandra González-Bailón

Assistant Professor at the Annenberg School for Communication


Sandra González-Bailón’s research lies at the intersection of network science, data mining, and computational tools, with a special interest in dynamics of political communication and social change. Her forthcoming book Decoding the Social World (MIT Press, fall 2017) discusses how data science and the analysis of networks help us solve the puzzle of unintended consequences – or why our intentional actions often trigger outcomes that we did not intend or even envision.


Robert Ghrist

Penn Integrates Knowledge (PIK) Professor of Mathematics and Electrical & Systems Engineering


Robert Ghrist’s research interests include applied topology, robotics, and topographical hydrodynamics. He is currently working on projects in topological data analysis, topological target tracking, and topological signal processing.


David Grazian

Associate Professor of Sociology


David Grazian teaches courses on popular culture, mass media and the arts; cities and urban sociology; social interaction and public behavior; and ethnographic methods. In his research he employs a variety of ethnographic and other qualitative methods to study the production and consumption of commercial entertainment in the urban milieu.


Sudipto Guha

Associate Professor of Computer and Information Science


Sudipto Guha studies the design and implementation of a wide range of computational systems, from resource constrained devices, such as sensors, up through massively parallel and distributed systems. His recent work focuses on clustering and location theory, statistics and learning theory, database query optimization and mining, approximation algorithms for stochastic control, communication complexity and data stream algorithms.


Andreas Haeberlen

Associate Professor of Computer and Information Science


Andreas Haeberlen works on distributed systems, networking, and security. He is particularly interested in large-scale distributed systems that span multiple administrative domains, such as cloud computing platforms or the Internet’s interdomain routing system. Recently he has been working on accountability for distributed systems, secure network provenance, defenses against denial-of-service attacks, and on differential privacy.


Nadia Heninger

Magerman Term Assistant Professor of Computer and Information Science


Nadia Heninger’s research focuses on applied cryptography and security, particularly cryptanalysis of public-key cryptography in practice.  She is the recipient of a 2017 NSF CAREER award, and her research has won best paper awards at CCS 2016, CCS 2015, Usenix Security 2012, and a best student paper award at Usenix Security 2008.


Zachary Ives

Professor, Computer and Information Science; Associate Dean for Masters and Professional Programs, School of Engineering & Applied Science


Zack Ives’ research interests include data integration and sharing, managing “big data,” sensor networks, and data provenance and authoritativeness. He works on next-generation techniques for searching the Web and databases, integrating data from sensors, and sharing data among groups that have different ways of modeling the world. Additionally, he was the first Undergraduate Curriculum Chair for Penn’s Singh Program on Networked and Social Systems Engineering (NETS).


Raghu Iyengar

Associate Professor of Marketing; and Faculty Co-Director, the Wharton Customer Analytics Initiative


Raghu Iyengar’s research interests fall in two domains: pricing and social influence. In the area of pricing, his work focuses on the impact of multi-part pricing schemes on consumer response.  His other current research projects focus on the impact of referral coupons on consumer behavior and how changes in loyalty program requirements may change future customer behavior.


Bhuvnesh Jain

Professor and Edmund J. and Louise W. Kahn Term Chair in the Natural Sciences, Co-Director of the Center for Particle Cosmology

Research Interests: Astronomy and cosmology have entered the era of Big Data science. Bhuvnesh’s research focuses on extracting information from massive astronomical surveys, in particular the ongoing Dark Energy Survey. This work uses techniques at the interface of astronomy, computer science and statistics.


Shane T. Jensen

Associate Professor of Statistics; Co-Director of Ph.D. Program

Research Interests: Applications in bioinformatics, bayesian multi-level modeling, statistical computing and MCMC methods, and statistics in sports.


Sampath Kannan

Henri Salvatori Professor and Chair of Computer and Information Science

Research Interests: In his work on massive data set algorithms, Sampath explores what can be computed efficiently, and what is not computable. He is also interested in program checking, and in algorithmic problems in computational biology, particularly the problem of reconstructing the evolutionary history of a set of species from phenotypic and molecular sequence observations.


Sanjeev Khanna

Henry Salvatori Professor of Computer and Information Science

Research Interests: Design and analysis of algorithms for combinatorial optimization and in complexity theory.


Junhyong Kim

Professor of Biology and Co-Director of Penn Genomics Institute

Research Interests: Dr. Junhyong Kim studies evolution of gene regulation and developmental systems.


Abba M. Krieger

Robert Steinberg Professor of Statistics at the Wharton School

Research Interests: Applied probability: the Secretary and Bomber Problems, models of EEG data for the detection of epilepsy, analysis of phenotype and genotype data on Autism.


George J. Mailath

Walter H. Annenberg Professor in the Social Sciences and Professor of Economics

Research Interests: Dr. Mailath’s research interests include pricing, noncooperative game theory, evolutionary game theory, repeated games, social norms, and the foundations of reputations.


Jonathan Moreno

David and Lyn Silfen University Professor of Ethics, Department of Medical Ethics and Health Policy

Research Interests: General bioethics, biopolitics, history of bioethics, science ethics, human research ethics, national security research ethics, bioterrorism, neuroethics, consensus theory.


Robin Pemantle

Professor of Mathematics

Research Interests: Robin’s research interests include many topics in probability theory. He also studies combinatorics, including asymptotics of multivariable generating functions, optimization, enumerative combinatorics, and spanning trees of graphs.


Andrew Postlewaite

Harry P. Kamen Professor of Economics and Professor of Finance

Research Interests: Dr. Postlewaite’s research research interests include game theory, social norms and behavioral economics.


Victor Preciado

Assistant Professor of Electrical and Systems Engineering

Research Interests: Dr. Victor Preciado’s main research interests lie in the modeling, analysis, and control of large-scale complex dynamical networks, with applications in social networks, technological infrastructure, and biological networks.


Alexander Rakhlin

Associate Professor of Statistics

Research Interests: Applied probability, machine learning, optimization, sequential prediction, statistical learning theory


Aaron Roth

Raj and Neera Singh Assistant Professor of Computer and Information Science

Research Interests: Roth studies algorithm design in settings in which either the data belongs to other self-interested parties, or the computation is to be performed by other self-interested parties. This requires studying the algorithmic foundations of data privacy and game theory.


Saswati Sarkar

Professor of Electrical and Systems Engineering

Research Interests: Science and economics of diverse classes of networks (e.g., communication, social, transportation, power, economic) with emphasis on pricing and market economics, security, resource allocation, optimization and control of stochastic systems, distributed systems and algorithms


Theodore Satterthwaite

Assistant Professor of Psychiatry

Research Interests: Multimodal neuroimaging to understand psychiatric symptoms in the context of brain development and reward system function.


Jonathan M. Smith

Olga and Alberico Pompa Professor of Computer and Information Science

Research Interests: Jonathan’s research interests center around computer networking and computer security.


Robert A. Stine

Professor of Statistics

Research Interests: Credit scoring, model selection, pattern recognition and classification, statistical computing and graphics, time series analysis and forecasting.


Lyle Ungar

Professor of Computer and Information Science

Research Interests: Dr. Lyle Ungar is devloping scalable machine learning and text mining methods, including clustering, feature selection, and semi-supervised and multi-task learning for natural language, psychology, and medical research.


Kevin Werbach

Associate Professor of Legal Studies & Business Ethics, The Wharton School

Research Interests: Legal and business implications of the connected digital world, including broadband regulation, spectrum policy, and gamification.


Christopher S. Yoo

John H. Chestnut Professor of Law, Communication, and Computer & Information Science; Director, Center for Technology, Innovation & Competition

Research Interests: His research focuses on how the principles of network engineering and the economics of imperfect competition can provide insights into the regulation of electronic communications.


Brett Hemenway

Research Assistant Professor, Computer and Information Science


Brett Hemenway’s research focuses on coding theory and cryptography, using mathematical tools to create secure and robust information systems.  He has worked extensively in the area of Secure Multiparty Computation (MPC), developing cryptographic tools that allow groups of stakeholders to coordinate and cooperate while preserving their private data.


Jason Moore

Edward Rose Professor of Informatics; Director of the Penn Institute for Biomedical Informatics; Senior Associate Dean for Informatics

Research Interests:  Dr. Moore develops artificial intelligence, machine learning, network science and visual analytics methods for modeling the relationship between genome variation and clinical endpoints such as susceptibility to common diseases. His work assumes that human health is a complex system influenced by many genetic and environmental factors that interact in a non-additive manner in time and space. He pioneered the development of the multifactor dimensionality reduction (MDR) method and open-source software for detectingnon-additive interactions between multiple genetic variants.


Diana Mutz

Samuel A. Stouffer Professor of Political Science and Communication; Director, Institute for the Study of Citizens and Politics

Research Interests: Diana Mutz currently studies media, public opinion and political psychology involving international political issues. She is particularly interested in how people form preferences about policies such as international trade and outsourcing based on their processing of information about near and distant events.


Camilo García-Jimeno

Assistant Professor of Economics


Camilo García-Jimeno’s research focuses on political economy, and uses economic theory and econometric tools to investigate the roles of information and social interactions in collective decision-making. In recent work he uses network tools to study the formation of state capacity under network spillovers, and how social interactions in network settings can shape the success of collective action, political influences in international relations, and the extent of civil liberties societies can sustain.


Ezekiel Dixon-Román

Associate Professor of Social Policy


Ezekiel Dixon-Román does work on the cultural studies of quantification, education, and critical policy studies. His forthcoming book, Inheriting Possibility, is a critical examination of the ontologies of computational and data analytics, governmental topologies, and the enacted reconfiguring boundaries and assemblages of “difference.” He is also the chair of the new Data Analytics for Social Policy Certificate of the Masters of Science in Social Policy Program.


Alejandro Ribero

Associate Professor of Electrical and System Engineering


Research Interests: Alejandro Ribero is currently the Rosenbluth Associate Professor at the Department of Electrical and Systems Engineering. His research interests are in the applications of statistical signal processing to the study of networks, networked phenomena, and network algorithms. Dr. Ribeiro received the 2012 S. Reid Warren, Jr. Award presented by Penn’s undergraduate student body for outstanding teaching and the NSF CAREER Award in 2010. Papers he coauthored received the 2014 O. Hugo Schuck best paper award and student paper awards at the 2013 American Control Conference (as adviser), as well as the 2005 and 2006 International Conferences on Acoustics, Speech and Signal Processing. Dr. Ribeiro is a Fulbright scholar and a Penn Fellow.


Tom Baker

William Maul Measey Professor of Law and Health Sciences


Tom Baker, a preeminent scholar in insurance law, explores insurance, risk, and responsibility using methods and perspectives drawn from economics, sociology, psychology, and history. His current research interests include the regulation of, by, and through algorithms and choice architecture, especially in relation to insurance and financial services.  He is also interested more broadly in the application of machine learning to legal problems.


Bimal Desai

Chief Medical Information Officer, Children's Hospital of Philadelphia, Assistant Professor of Pediatrics Perelman School of Medicine


Bimal Desai’s research makes use of rich clinical and administrative datasets derived from the electronic health record.  Applications are diverse and include information privacy (ex: using electronic health record access log data to detect trusted insider “snooping” events), clinical workflow analysis (ex: modeling patient/provider interactions within the healthcare system to optimize clinic workflow), and clinical decision support (ex: determining appropriate antibiotic choice based on statistical likelihood of antimicrobial resistance).

Vijay Kumar

Nemirovsky Family Dean of Penn Engineering with appointments in the Departments of Mechanical Engineering and Applied Mechanics, Computer and Information Science, and Electrical and Systems Engineering at the University of Pennsylvania.

Research Interests: Vijay Kumar’s research interests: are in robotics, specifically multi-robot systems, and micro aerial vehicles. He has served on the editorial boards of the IEEE Transactions on Robotics and Automation, IEEE Transactions on Automation Science and Engineering, ASME Journal of Mechanical Design, the ASME Journal of Mechanisms and Robotics and the Springer Tract in Advanced Robotics (STAR).


Aviv Nevo

George A. Weiss and Lydia Bravo Weiss University Professor; Professor of Marketing; Professor of Economics

Website: Personal Website

Research Interests: Aviv Nevo’s research interests include empirical studies of consumer behavior, industrial organization and competition. He has studied these issues in markets such as consumer packaged goods, real estate, healthcare and telecom.

Sarah Moshary

Assistant Professor of Economics

Research Interests: Sarah’s interests span topics from Industrial Organization to Political Economy, including work on the pricing of political advertising on TV, the privatization of liquor sales in Washington state, and price obfuscation in e-commerce.


Benjamin Connault

Assistant Professor of Economics


Ben Connault is interested in statistical models grounded in economic theory, with an emphasis on dynamic models of individual choice. Topics include identifiability, Bayesian and frequentist estimation, time-series asymptotics, state-space models, and Markov decision processes.