Shivani Agarwal
Associate Professor of Computer and Information Science
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School of Engineering & Applied Science
Jason Altschuler
Assistant Professor of Statistics and Data Science
optimization, probability, machine learning, mathematics of data science, optimal transport
Statistics and Data Science, Computer and Information Science, Electrical and Systems Engineering
Ron Anafi
Assistant Professor of Medicine
The influence of sleep and circadian biology on physiology and disease.
Penn Medicine/Sleep Medicine (DM)
Paulo E. Arratia
Professor
Fluid Dynamics, BiophysicsActive & Soft Matter
Chemical and Biomolecular Engineering, Mechanical Engineering and Applied Mechanics
Ian J. Barnett
Assistant Professor of Biostatistics
Mental health, mobile health, genomics
Biostatistics
John L. Bassani
Professor
Continuum Mechanics
Mechanical Engineering and Applied Mechanics, Materials Science and Engineering
Dani Smith Bassett
J. Peter Skirkanich Professor
Complex networks, graph theory, neuroimaging, applied mathematics, bioengineering, physics, neuroscience, cognitive neuroscience, learning, fMRI, EEG, MEG, MRI, ECoG, DTI, DSI, network science, statistics, machine learning.
Bioengineering & Electrical and Systems Engineering (SEAS)
Bhaswar B. Bhattacharya
Associate Professor of Statistics and Data Science, Associate Professor of Mathematics (secondary appointment)
Nonparametric statistics, distribution-free inference, networks analysis, graphical models, statistical learning, combinatorial probability, discrete and computational geometry
Department of Statistics and Data Science, Department of Mathematics (Secondary)
Eric T. Bradlow, PhD
K.P. Chao Professor of Marketing, Statistics and Data Science, Economics, and Education
Bayesian computation, latent variable models, marketing research methods, missing data problems, analytics, psychometrics
Vice Dean of Analytics at Wharton; Chairperson, Wharton Marketing Department, The Wharton School; Professor of Economics; Professor of Education; Professor of Statistics, University of Pennsylvania
T. Tony Cai
Daniel H. Silberberg Professor, Professor of Statistics and Data Science
Statistical machine learning, high-dimensional statistics, large-scale inference, functional data analysis, statistical decision theory, applications to genomics and financial econometrics
Statistics & Data Science (STAT)(Wharton)
Pablo Gonzalez Camara
Assistant Professor
Computational biology, genomics, applied geometry, topological data analysis
Department of Genetics, Institute for Biomedical Informatics, Center for AI and Data Science for Integrated Diagnostics
Pratik Chaudhari
Assistant Professor of Electrical and Systems Engineering & Computer and Information Science
theoretical deep learning; robotics; computer vision
Electrical & Systems Engineering (SEAS)
Yong Chen
Professor of Biostatistics
Real-world data, Clinical evidence generation, Evidence synthesis, Learning health system, Data privacy and confidentiality, Evidence-based Medicine, Statistical Inference.
Biostatistics Engineering (BE)
Yuxin Chen
Associate Professor
Statistics, optimization, machine learning
Statistics & Data Science (STAT)(Wharton)
Kostas Daniilidis
Ruth Yalom Stone Professor of Computer & Information Science
Neuromorphic Vision Algorithms, 3D Vision, Geometric Deep Learning, Exploration and Curiosity Semantic SLAM.
School of Engineering and Applied Science
Christos Davatzikos
Wallace T. Miller Sr. Professor of Radiology, Electrical and Systems Engineering
Biomedical Image Analysis, Machine learning in Imaging, Imaging Biomarkers of Neurologic and Neuropsychiatric Diseases.
Radiology (Penn Medicine)
Anindya De
Associate Professor
Boolean function analysis; Complexity theory; Learning theory
Computer & Information Science (CIS)
Dennis DeTurck
Robert A. Fox Leadership Professor
Partial Differential Equations and Differential Geometry
Department of of Mathematics
Edgar Dobriban
Associate Professor of Statistics and Data Science, Secondary appointment in Computer and Information Science
Statistics and machine learning
Statistics & Data Science (STAT)(Wharton)
Eric Eaton
Research Associate Professor
Machine learning, artificial intelligence, and data mining with applications to robotics, search & rescue, environmental sustainability, and medicine
Computer & Information Science (CIS)(GRASP)
Nader Engheta
H. Nedwill Ramsey Professor
Optics, Metamaterials, Electrodynamics, Microwaves, Photonics, Nano-optics, graphene photonics, imaging and sensing
School of Engineering and Applied Sciences
Jesus Fernandez-Villaverde
Howard Marks Presidential Professor of Economics
Formulation of dynamic equilibrium models, their efficient computation, and their estimation, using machine learning.
Department of Economics
Jean H. Gallier
Professor
Geometry and its applications (3D graphics, computer vision, robotics), geometric modeling, geometry of curves and surfaces, algebraic geometry, differential geometry, medical imaging.
School of Engineering Computer & Information Science
James Gee
Professor of Radiologic Science in Radiology
Multi-modal machine learning for medicine, connectomics, bio/medical image analysis and processing, global health
Radiology (Penn Medicine)
Robert Ghrist
Associate Dean of Undergraduate Education, School of Engineering and Applied Sciences
applied topology, topological data analysis, data science, social information, distributed algorithms, dynamical systems
School of Engineering and Applied Sciences
Herman Gluck
Professor of Mathematics
Differential Geometry, Dynamical Systems, Topology of Manifolds.
Mathematics
Mark Goulian
Charles and William L. Day Distinguished Professor in the Natural Sciences
Biophysics, Condensed Matter
Department of Physics & Astronomy
Joao Gomes
Professor
Macroeconomics and financial markets, quantitative corporate finance, corporate investment and financing
Finance Department (FIN)(Wharton)
Phillip Gressman
Professor Mathematics
Harmonic analysis and PDEs
Mathematics Department
James Haglund
Professor of Mathematics
Algebraic Combinatorics, Computational Number Theory
Department of Mathematics
Hamed Hassani
Associate Professor
Machine Learning, Information Theory
Electrical & Systems Engineering (SEAS)
Jiaoyang Huang
Assistant Professor
Random matrix theory, random graphs, interacting particle systems, optimization of deep neural networks, posterior sampling, and uncertainty quantification of large scale inverse problems.
Statistics & Data Science (STAT)(Wharton)
Jing Huang
Assistant Professor of Biostatistics
Research focuses on methodology development to understand the dynamics of disease activities and inform health management using multivariate longitudinal health data.
Perelman School of Medicine & Epidemiology and Informatics
Ryan Hynd
Associate Professor
Partial differential equations, applied analysis
Mathematics
Shane T. Jensen
Professor of Statistics and Data Science
Bayesian multi-level modeling, spatial statistics, urban analytics, statistics in sports.
Wharton
Douglas J. Jerolmack
Louise W. Kahn Endowed Term Professor of Earth and Environmental Science
Experimental geophysics, with a focus on geomorphology (the “science of scenery”) and the mechanics of earth materials.
MEAM (SEAS) & Earth and Environmental Science (SAS)
Jin Jin
Assistant Professor of Biostatistics
Bayesian Modeling, statistical genetics, predictive modeling, data integration, health equity
Mathematics Department
Randall Kamien
Vicki and William Abrams Professor in the Natural Sciences
Soft Matter
Department of Physics & Astronomy
Sampath K. Kannan
Henry Salvatori Professor
Algorithms and Complexity
School of Engineering Computer & Information Science
Eugene Katsevich
Assistant Professor
Statistical methodology; high-dimensional statistics; conditional independence testing; applications to genomics; single-cell CRISPR screens; computing; software development
Department of Statistics and Data Science
Michael Kearns
National Center Professor of Management & Technology
Machine learning, artificial intelligence, algorithmic game theory and microeconomics, computational social science, and quantitative finance and algorithmic trading.
Computer and Information Science
Junhyong Kim
Christopher Browne Distinguished Professor of Biology
Single cell biology, evolutionary biology, algebraic statistics, machine learning
Department of Biology and Department of Computer and Information Sciences
Daniel E. Koditschek
Alfred Fitler Moore Professor
Dynamic Systems and Control, Machine Learning, AI, and Autonomous Systems
Computer and Information Science
Electrical and Systems Engineering
Mechanical Engineering and Applied Mechanics
Vijay Kumar
Professor, Nemirovsky Family Dean
Creating autonomous ground and aerial robots, designing bio-inspired algorithms for collective behaviors, and on robot swarms.
Computer and Information Science
Electrical and Systems Engineering
Mechanical Engineering and Applied Mechanics
Hongzhe Li (Lee)
Perelman Professor in Biostatistics, Epidemiology, and Informatics
Statistical genetics and genomics, family-based genetic linkage and association analysis, admixture mapping, genome-wide association analysis, analysis of microarray time course gene expression data, high dimensional regression analysis for genomic data, copy number variation analysis, and methods for analysis of next generation sequence data
Department of Biostatistics and Epidemiology
Mingyao Li
Professor of Biostatistics
Statistical genomics, machine learning, pathology imaging
Biostatistics Epidemiology & Informatics (DBEI)
Mark Liberman
Professor
Corpus-based phonetics, legal, medical and political applications of linguistic analysis, the phonology and phonetics of lexical tone, and its relationship to intonation, formal models for linguistic annotation
Computer Information Science (CIS)
Andrea Liu
Hepburn Professor of Physics
Condensed Matter, Living Matter, Soft Matter
Department of Physics & Astronomy
Qi Long
Professor
Statistical and machine learning methods for analysis of big, complex health data including -omics, EHR), imaging data, mHealth data; missing data; causal inference; data privacy; bias and fairness in AI for medicine; Bayesian methods; nonparametric and semi-parametric methods.
Biostatistics Epidemiology & Informatics (DBEI)
Irina Marinov
Associate Professor
Climate modeling, oceans, satellite, climate dynamics, big data
Earth & Environmental Science (EES)
Vadim Markel
Associate Professor of Radiology
Inverse problems, Imaging, Optics, Electromagnetic theory
Radiology (Penn Medicine)
Iain Mathieson
Associate Professor of Genetics
Human population genetics including demographic history, natural selection, and complex traits.
Perelman School of Medicine Dept. of Genetics
Arnold Mathijssen
Assistant Professor
Biophysics, Fluid Mechanics, Active and Living Materials
Department of Physics & Astronomy
Nikolai Matni
Assistant Professor
Control Theory, Machine Learning, Optimization
Computer and Information Science
Electrical and Systems Engineering
GRASP Lab
Yoichiro Mori
Calabi-Simons Professor in Mathematics and Biology
Mathematical Physiology and Biophysics, Analysis and Numerical Analysis of Partial Differential Equations, Dynamical Systems.
Mathematics & Biology (AMCS Chair)
Philip Nelson
Professor
Biological and living matter physics
Physics and Astronomy
Biological Physics
George Pappas
UPS Foundation Professor
Control systems, robotics, machine learning
Electrical & Systems Engineering (SEAS)(GRASP)
George Ilhwan Park
Assistant Professor
Computation of multi-physics flow phenomena characterized by turbulence at high Reynolds number, compressibility effect, heat transfer, complex wall geometry, and fluid-structure interaction.Â
Mechanical Engineering and Applied Mechanics
Robin Pemantle
Merriam Term Professor of Mathematics
probability, combinatorics
Mathematics (primary), Statistics (secondary), Computer Science (secondary)
Paris Perdikaris
Associate Professor
Deep learning; Foundation models for physical simulation; Physics-informed neural networks and neural operators; Generative models; Uncertainty quantification; Sequential decision making
Mechanical Engineering and Applied Mechanics
Joshua Plotkin
Walter H. and Leonore C. Annenberg Professor of Natural Sciences
evolutionary theory, population dynamics
Department of Biology
Pedro Ponte-Castañeda
Professor
continuum mechanics; composite materials; fluid suspensions; material instabilities; multi-physics; variational methods
Mechanical Engineering and Applied Mechanics, Mathematics (secondary)
Victor M. Preciado
Associate Professor
Complex networks, Machine learning, Dynamical systems
Departments of Electrical & Systems Engineering and Computer & Information Science
Prashant Purohit
Professor
Fracture of blood clots, mechanics of DNA. statistical mechanics of filaments and networks.
Mechanical Engineering & Applied Mechanics (MEAM)
Ravi Radhakrishnan
Professor and Chair of Bioengineering and Professor of Chemical and Biomolecular Engineering
AI enabled physics-based models for engineering health
School of Engineering and Applied Sciences
Arjun Raj
Richard K. Lubin Professor
Bioengineering and Genetics
School of Engineering & Applied Science
Celia Reina
Associate Professor
Multiscale modeling of matter
Mechanical Engineering and Applied Mechanics
Non-Equilibrium Mechanics Laboratory
Zhimei Ren
Assistant Professor
Distribution-free inference, multiple hypothesis testing, data-driven decision-making, causal inference, survival analysis
Statistics and Data Science
Aaron Roth
Henry Salvatori Professor of Computer and Cognitive Science
Machine Learning Theory, Algorithmic Game Theory, Algorithmic Fairness, Differential Privacy
Computer & Information Science (CIS)
Dan Roth
Eduardo D. Glandt Distinguished Professor
Machine learning and inference methods, natural language understanding, fundamental questions in learning and inference and how they interact, constrained conditional models, an integer linear programming formulation, incidental supervision, declarative Learning Based Programming language
Computer & Information Science (CIS)
Saswati Sarkar
Professor Electrical and Systems Engineering
Optimal control of epidemic evolutions, Competition, Neutrality and Service Quality in Cellular Wireless Access, Economics of resource allocation in wireless networks, Foundations for malware control in mobile wireless networks, Joint allocation of resources in multihop wireless networks, Distributed and partial information based optimal control in multihop wireless networks, Resource allocation in multicast networks.
Andre Scedrov
Professor
Logic, Information Assurance, Formal Grammars
Department of Mathematics
Computer and Information Science
Li Shen
Professor of Informatics in Biostatistics and Epidemiology
Medical image computing, biomedical informatics, machine learning, network science, imaging genomics, multi-omics and systems biology, Alzheimer’s disease, and big data science in biomedicine
Biostatistics Engineering (BE)
Vivek Shenoy
Eduardo D. Glandt President's Distinguished Professor
Mechanobiology of the Cell Environment, Mechanobiology of Tissue, Mechanobiology of the Cell, Mechanobiology of the Nucleus.
Bioengineering
Mechanical Engineering and Applied Mechanics
Materials Science and Engineering
Dylan Small
Universal Furniture Professor, Professor of Statistics and Data Science
Universal Furniture Professor, Professor of Statistics and Data Science
Statistics (STAT)(Wharton)
Kent Smetters
Professor
Applied theory, computational economic, risk, macroeconomics, public economics
Business Economics & Public Policy (Wharton)
Robert Strain
Professor of Mathematics
Nonlinear Partial Differential Equations, Applied Mathematics, Mathematical Physics.
David R. Srolovitz
Adjunct Professor
Machine Learning
Weijie Su
Associate Professor
Machine Learning, Large Language Model, Differential Privacy, High-Dimensional Statistics, Optimization, Deep Learning Theory
Statistics & Data Science (STAT)(Wharton)
Kai Tan
Richard & Sheila Sanford Professor
Genomics, image analysis, machine learning, network science, and big data science in biomedicine
Departments of Pediatrics, Cell & Dev Biology, Genetics, Center for Single Cell Biology
Nat Trask
Associate Professor
Scientific machine learning, geometric mechanics, exterior calculus, numerical analysis, multiphysics/multiscale, scientific computing
Mechanical Engineering and Applied Mechanics
Hugo N. Ulloa
Assistant Professor
Geophysical and Environmental Fluid Dynamics: Mechanically and buoyancy driven flows in rotating and stratified environments, Flows in confined geophysical environments, Suspended and dissolved tracer dynamics in aquatic systems.
Earth & Environmental Science (EES)
Lyle Ungar
Professor
Natural language processing, machine learning, psychology
Computer & Information Science (CIS)
René Vidal
Rachleff University Professor
Deep learning theory, non-convex optimization, subspace learning, clustering, sparse representation
ESE, SEAS, Radiology
Rakesh Vohra
George A. Weiss and Lydia Bravo Weiss University Professor
Game Theory, Mechanism Design
Department of Economics, Department of Electrical & Systems Engineering
Erik Waingarten
Assistant Professor
Algorithms for massive datasets, with a focus on similarity search, streaming/sketching, property testing, and distribution testing
Computer & Information Science (CIS)
Kai Wang
Professor of Pathology and Laboratory Medicine
Develop novel genomics and bioinformatics methods to improve our understanding of the genetic basis of human diseases.
Perelman School of Medicine
Abraham Wyner
Professor
Applied Statistics, Machine Learning, Sports Analytics, Information Theory
Statistics (STAT)(Wharton)
Pinar Yildirim
Associate Professor of Marketing, The Wharton School
Media, advertising, industrial organization, social networks, social media, news media, privacy, political economy, open innovation
Marketing (Wharton School) and Department of Economics of the University of Pennsylvania (secondary)
Anderson Ye Zhang
Assistant Professor
Group Synchronization, Spectral Analysis, Ranking from Pairwise Comparisons, Clustering and Mixture Models, Network Analysis, Mean Field Variational Inference
Statistics & Data Science (STAT)(Wharton)
Nancy Zhang
Professor
Genomics, change-point methods, empirical bayes estimation, model and variable selection, scan statistics, statistical modeling
Statistics & Data Science (STAT)(Wharton)
Bingxin Zhao
Assistant Professor of Statistics and Data Science
statistical methods & applications to big data, high-dimensional statistics, biomedical & biological data science, environmental data science, and social data science
Statistics & Data Science (STAT)(Wharton)