### 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

*—*

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-CastaÃ±eda

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 ofÂ ElectricalÂ &Â Systems EngineeringÂ andÂ 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, Alzheimerâ€™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)

### RenÃ© 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)