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)
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)
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)
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
James Gee
Professor of Radiologic Science in Radiology
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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
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
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)
Ryan Hynd
Associate Professor
Partial differential equations, applied analysis
Mathematics
Jin Jin
Assistant Professor of Biostatistics
Bayesian Modeling, statistical genetics, predictive modeling, data integration, health equity
Mathematics Department
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
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
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)
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)
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)
George Pappas
UPS Foundation Professor
Control systems, robotics, machine learning
Electrical & Systems Engineering (SEAS)(GRASP)
Robin Pemantle
Merriam Term Professor of Mathematics
probability, combinatorics
Mathematics (primary), Statistics (secondary), Computer Science (secondary)
Paris Perdikaris
Associate Professor
– –
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
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)
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)
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
– –
Department of Mathematics, Applied Mathematics and Computational Science graduate program
Weijie Su
Associate Professor
Machine Learning, Large Language Model, Differential Privacy, High-Dimensional Statistics, Optimization, Deep Learning Theory
Statistics & Data Science (STAT)(Wharton)
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 & Laboratory Medicine
bioinformatics, genomics, deep learning, long-read sequencing, electronic health records
Penn Medicine
Abraham Wyner
Professor
Applied Statistics, Machine Learning, Sports Analytics, Information Theory
Statistics (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)