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.
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.
Rachleff Family Associate Professor of Computer and Information Science
Shivani Agarwal works in machine learning. Her research interests include foundational questions in machine learning, applications of machine learning in the life sciences, and connections between machine learning and other disciplines such as economics, operations research, and psychology.
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.
Henry R. Silverman Professor of Law and Professor of Philosophy; Vice Provost for Faculty
Anita Allen is an expert on privacy law, the philosophy of privacy, bioethics, and contemporary values, and is recognized for scholarship about legal philosophy, women’s rights, and race relations. She has published more than a hundred scholarly articles, book chapters and essays, has contributed to popular magazines, newspapers and blogs, and has frequently appeared on nationally broadcast television and radio programs.
Director of the Jerome Fisher Program in Management & Technology, The Wharton School; Jeffrey A. Keswin Professor of Operations, Information and Decisions
Gad Allon’s research interests include operations management in general, and service operations and operations strategy in particular. He studies models of information sharing among firms and customers both in service and retail settings, as well as competition models in the service industry.
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.
Associate 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.
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.
Assistant Professor of Operations, Information and Decisions
Hamsa Bastani’s primary research interests center around optimizing service operations by developing novel data-driven statistical decision-making tools using techniques from machine learning, and designing improved performance-based contracts using detailed outcomes data on strategic firms and workers.
Professor of Criminology and Statistics; Chair, Department of Criminology
Richard Berk works on various topics in applied statistics including causal inference, statistical/machine learning, and methods for evaluating social programs. Among his criminology applications are inmate classification and placement systems, law enforcement strategies for reducing intimate partner violence, and detecting violations of environmental or worker safety regulations.
Assistant Professor of Marketing
Ron Berman focuses his research on online marketing, marketing analytics and the marketing actions of startup firms. His recent research looks at how firms measure and assess marketing effectiveness through experiments and how curation algorithms may create filter-bubbles on social media.
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.
Associate Professor of Computer and Information Science
Chris Callison-Burch is interested in crowdsourcing, data-driven machine translation, and statistical natural language processing.
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.
Edward B. Shils Professor of Law and Professor of Political Science; Director, Penn Program on Regulation
Cary Coglianese specializes in the study of regulation and regulatory processes, with an emphasis on the empirical evaluation of alternative regulatory strategies and the role of public participation, negotiation, and business-government relations in policy making.
Assistant Professor of Criminology
Maria Cuellar’s research looks at causation in legal contexts by using the Causes of Effects and Effects of Causes framework, which she has applied to evaluate the use of scientific evidence in cases of Shaken Baby Syndrome and other forms of child abuse. She is also interested in developing survey methodology for hard-to-reach populations by using network sampling and capture-recapture methodology.
Assistant Professor Of Clinical Pediatrics
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, clinical workflow analysis, and clinical decision support.
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.
Assistant Professor of Economics
Francis DiTraglia is interested in theoretical and applied econometrics, model selection and model averaging, machine learning, and empirical finance.
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.”
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.
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.
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.
Professor of Economics
Amit Gandhi is an applied economist specializing in industrial organization and econometrics. He has done important work on methodological model identification of demand and production functions and in auction models.
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.
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.
Associate 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.
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.
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.
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.
Assistant Professor, Electrical and Systems Engineering
Hamed Hassani’s fields of interest include machine learning, coding, and information theory, as well as the theory and applications of graphical models. He was a research fellow at the Simons Institute, UC Berkeley (program: Foundations of Machine Learning). Prior to that, he was a post-doctoral scholar and lecturer in the Institute for Machine Learning at ETH Zürich.
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.
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.
Adani President's Distinguished Professor and Chair of Computer and Information 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).
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.
Walter H. and Leonore C. Annenberg Professor in the Natural Sciences, Co-Director of the Penn Center for Particle Cosmology
Astronomy and cosmology have entered the era of Big Data science. Bhuvnesh Jain’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
Shane T. Jensen’s research interests include applications in bioinformatics, bayesian multi-level modeling, statistical computing and MCMC methods, and statistics in sports.
Henry Salvatori Professor of Computer and Information Science
In his work on massive data set algorithms, Sampath Kannan explores what can be computed efficiently, and what is not computable. He is also interested in program checking, a paradigm for ensuring the correctness of a program by observing its behavior at run-time, 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.
Assistant Professor of Physics and Astronomy
Eleni Katifori’s interests are in the subjects of topology, function and development of biological distribution networks, elasticity and mechanics of thin cells, and pattern formation.
Henry Salvatori Professor of Computer and Information Science
Sanjeev Khanna works in theoretical computer science, studying the amount of resources that are necessary and sufficient to perform a computational task. His specific interests are in fast computation of near-optimal solutions for NP-hard problems, a class which has eluded efficient exact algorithms. His recent work has led to efficient algorithms for finding near-optimal solutions to several fundamental network design and routing problems.
Edmund J. and Louise Kahn Term Endowed Professor of Biology and Co-Director of Penn Genomics Institute
Junhyong Kim is primarily a Systems Biologist and works at the interface of mathematical and computational biology, genomics, and evolutionary biology with a focus on neuro-cell biology. He uses quantitative models, statistical analyses, and collect genome-scale data to ask questions about mechanisms of cell function and their evolution. In particular, he is interested in theoretical structure of problems such as the mathematical structure of biological models, the architecture of temporal control for cellular processes, and the theory of biological dynamics.
Penn Integrates Knowledge University Professor, Departments of Neuroscience and Bioengineering
Konrad Kording’s research uses data science to advance a broad range of topics that include understanding brain function, improving personalized medicine, collaborating with clinicians to diagnose diseases based on mobile phone data, and even understanding the careers of professors. Across many areas of biomedical research, his group analyzes large datasets to test new models and thus get closer to an understanding of complex problems in bioengineering, neuroscience, and beyond.
Abba M. Krieger
Robert Steinberg Professor of Statistics
Abba M. Krieger’s research interests include applications in the law, operations management and marketing, applied probability, observational studies, and worst case analysis of heuristics. He serves as a consultant to several major companies in the areas of data analysis, statistical methodology, mathematical modeling, and marketing research.
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
Vijay Kumar’s research is in robotics, specifically multi-robot systems and micro aerial vehicles. He works on creating autonomous ground and aerial robots, designing bio-inspired algorithms for collective behaviors, and on robot swarms. His TED talks, which both detail his work on drones and discuss the future of flying robots, have garnered countless views — the first talk having reached over 4 million views on the TED website.
Assistant Professor of Economics
Annie Liang’s research is in economic theory (in particular, learning and information), and the application of machine learning methods for theory building and evaluation.
George J. Mailath
Walter H. Annenberg Professor in the Social Sciences and Professor of Economics
George J. Mailath’s research interests include pricing, noncooperative game theory, evolutionary game theory, repeated games, social norms, and the foundations of reputations. He is currently on the Council of the Econometric Society, was on the Council of the Game Theory Society 2005-2011, and was one of the founders of the journal Theoretical Economics.
Edward Rose Professor of Informatics; Director of the Penn Institute for Biomedical Informatics; Senior Associate Dean for Informatics
Jason 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.
David and Lyn Silfen University Professor of Ethics, Professor of Medical Ethics and Health Policy, of History and Sociology of Science, and of Philosophy
Jonathan Moreno is interested in general bioethics, biopolitics, history of bioethics, science ethics, human research ethics, national security research ethics, neuroethics, and consensus theory. His recent book, Impromptu Man: J.L. Moreno and the Origins of Psychodrama, Encounter Culture, and the Social Network, the life and times of his father, the psychiatrist J.L. Moreno, was named a “#1 new release” by Amazon.com.
Samuel A. Stouffer Professor of Political Science and Communication; Director, Institute for the Study of Citizens and Politics
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.
George A. Weiss and Lydia Bravo Weiss University Professor; Professor of Marketing; Professor of Economics
Aviv Nevo is a leading scholar in the fields of industrial organization, econometrics, marketing, and antitrust. He draws from his experience across academic, governmental, and corporate sectors to address pressing real-world issues, opening pathways for a broader understanding of national and global economies. His past research includes topics in the areas of health economics, health care, telecommunications, and real estate brokerages.
Merriam Term Professor of Mathematics
Robin Pemantle’s research interests include probability theory, where he studies random walks, urn schemes and reinforcement schemes, tree-indexed process, branching processes, any probability model involving trees, discrete potential theory, particle systems, percolation, mixing rates Markov chains, and pathwise properties of Brownian motion. He also studies combinatorics, including asymptotics of multivariable generating functions, optimization, enumerative combinatorics, and spanning trees of graphs.
Harry P. Kamen Professor of Economics and Professor of Finance
Andrew Postlewaite’s research interests include game theory, social norms, and behavioral economics. He has served on the editorial board of the Journal of Economic Theory and Games and Economic Behavior, and as coeditor of Econometrica and editor of the International Economic Review.
Associate Professor of Electrical and Systems Engineering
Victor Preciado’s research interests lie at the intersection of Big Data and Network Science; in particular, in using innovative mathematical and computational approaches to capture the essence of complex, high-dimensional dynamical systems. Relevant applications of this line of research can be found in the context of socio-technical networks, brain dynamical networks, healthcare operations, biological systems, and critical technological infrastructure.
Rosenbluth Associate Professor of Electrical and System Engineering
Alejandro Ribeiro’s believes that understanding networks, beyond wireless and communications, is one of the greatest intellectual challenges of the 21st century. Accordingly, his research is aimed at developing a theory to model and develop wireless networks with the goal of wireless networks that provide the same seamless connectivity we experience in our homes and offices.
Class of 1940 Bicentennial Term Associate Professor of Computer and Information Science
Aaron 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.
Professor of Electrical and Systems Engineering
Saswati Sarkar’s research focuses on enabling wireless communication among computing units that have limited access to communication resources such as bandwidth, memory and battery power. Her research strives to design intelligent resource management schemes that attain reliable communication through maximum utilization of limited resources.
Assistant Professor of Psychiatry
Ted Satterthwaite’s goal is to use multimodal neuroimaging to better understand psychiatric symptoms in the context of brain development and reward system function. Areas of focus include studying how functional brain networks evolve in health and disease, and how reward system function relates to symptoms that are common across multiple traditional psychiatric diagnoses.
Daniel J. Singer
Assistant Professor of Philosophy
Daniel J. Singer’s research is at the intersections of epistemology, ethics, and social philosophy. His work is motivated primarily by two questions: (1) how and why epistemic norms apply to us, and (2) how epistemic norms for groups differ from norms for individuals.
Jonathan M. Smith
Olga and Alberico Pompa Professor of Computer and Information Science
Jonathan M. Smith’s research interests center around computer networking and computer security. He is developing network architectures for new services and applications, such as the Terabit Edge Research Activity (TERA), which is focused on the coupling between parallel processing and parallelism in transmission systems, and implications for host software and network control.
Robert A. Stine
Professor of Statistics
Robert A. Stine’s research ranges from derivations of the abstract, theoretical properties of these methods to their application in various marketing, financial, and clinical problems. His most recent work concerns the use of information theory to understand and contrast various methods for selecting an optimal statistical model, with particular relevance to the selection of important modeling factors.
Professor of Computer and Information Science
Lyle Ungar’s current research focuses on developing scalable machine learning methods for data mining and text mining, including deep learning methods for NLP, and analysis of text and images in social media to better understand the drivers of physical and mental well-being.
Assistant Professor of Finance
Chaojun Wang’s research interests are in the area of financial networks, over-the-counter markets, market structure and design, game theory, and, more generally, market microstructure.
Professor of Legal Studies & Business Ethics, The Wharton School
Kevin Werbach’s work focuses on the intersection of business, policy, and emerging technologies in areas such as broadband, blockchain, and big data. A leading expert on Internet and telecommunications policy, Werbach served on the Obama Administrations Presidential Transition Team, and has advised the FCC and Department of Commerce on broadband issues.
Christopher S. Yoo
John H. Chestnut Professor of Law, Communication, and Computer & Information Science; Director, Center for Technology, Innovation & Competition
Christopher S. Yoo has emerged as one of the nation’s leading authorities on law and technology. 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.