Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship
Schmidt AI in Science Fellows
2022 Cohort
Program Team
Advisory Committee

Daniel Atkins
W K Kellogg Emeritus Professor of Information, inaugural Director of the Office of Cyberinfrastructure at NSF, and inaugural Dean of the U-M School of Information

Lydia Bieri
Professor of Mathematics, Director of Michigan Center for Applied and Interdisciplinary Mathematics

Tabbye Chavous
Professor of Education and Psychology, U-M Vice Provost and Chief Diversity Officer, Director of National Center for Institutional Diversity

Eric Michielssen
Louise Ganiard Johnson Professor of Engineering; Associate Dean for Research, College of Engineering

Rada Mihalcea
Janice Jenkins Collegiate Professor of Computer Science and Engineering; Director, Michigan AI Lab

Bradford Orr
Arthur F Thurnau Professor of Physics; Associate Vice President for Research, Natural Sciences and Engineering
Curriculum Committee
U-M Faculty Members Interested in Being AI Mentors
Name | Title | Primary Department: | Tagline: |
Mark Ackerman | George Herbert Mead Collegiate Professor | School of Information; Electrical Engineering and Computer Science, College of Engineering; Learning Health Sciences, Medical School | Computer-supported cooperative work, human-computer interaction, social computing |
Laura Balzano | Associate Professor | EECS, College of Engineering | Statistical signal processing and optimization with large data. |
Nikola Banovic | Assistant Professor | Computer Science and Engineering, College of Engineering | Behavior-aware User Interfaces, Computational Interaction, Computational models of human behavior |
Kira Barton | Associate Professor, Director of COE Research | Mechanical Engineering and Robotics, College of Engineering | Control theory and applications; iterative learning control; multi-agent systems; human/robot collaborations; smart manufacturing; manufacturing robotics; high-performance micro/nano-scale printing for electrical and biomedical applications |
Erhan Bayraktar | Professor | Mathematics, LSA | Mathematical finance and stochatic analysis |
Dennis Bernstein | James E Knott Professor | Aerospace Engineering, College of Engineering | Linear and nonlinear systems, identification, optimal, robust and adaptive control |
Anthony Bloch | Alexander Ziwet Collegiate Professor | Mathematics, LSA | Control, Hamiltonian and Lagrangian Systems, gradient flows |
Christopher Brooks | Research Assistant Professor | School of Information Director, Learning Analytics and Research in the Office of Digital Education & Innovation |
Visualizing the interaction between learners and learning technology |
Ceren Budak | Assistant Professor | School of Information | Computational social science |
Dallas Card | Assistant Professor | School of Information | Natural language processing, and computational social science, machine learning |
Joyce Chai | Professor | Computer Science and Engineering, College of Engineering | Artificial Intelligence, Natural language processing, situated communication |
Yang Chen | Assistant Professor | Statistics, LSA | Statistical inference and applied statistics in biology and astronomy |
Cynthia Chestek | Associate Professor and Associate Chair | Biomedical Engineering, College of Engineering and Medical School, EECS, College of Engineering | Brain machine interface (BMI) systems |
Mosharaf Chowdhury | Morris Wellman Faculty Development Assistant Professor | EECS (Computer Science and Engineering Division), College of Engineering | Large-scale systems for emerging machine learning and big data workloads |
Kevyn Collins-Thompson | Associate Professor | School of Information, EECS, College of Engineering |
Intelligent information systems that help people learn and discover |
Matias del Campo | Associate Professor | Taubman College of Architecture and Urban Planning | Research on Architecture Design and Artificial Intelligence |
Michał Dereziński | Assistant Professor | EECS, College of Engineering | Scalable randomized algorithms with robust statistical guarantees for machine learning, data science and optimization |
Karthik Duraisamy | Associate Professor | Aerospace Engineering, College of Engineering | Data-driven modeling of computational physics problems |
August (Gus) Evrard | Professor | Physics and Astronomy, LSA | Computational cosmology |
Jeff Fessler | Professor | EECS, College of Engineering Biomedical Engineering, College of Engineering Radiology, Michigan Medicine |
Large-scale inverse problems in image reconstruction |
Danny Forger | Professor | Mathematics, LSA Center for Computational Medicine and Bioinformatics Center for Systems Biology |
Computer simulation and mathematical modeling of biological clocks |
David Fouhey | Assistant Professor | Electrical Engineering and Computer Science | Computer vision and machine learning |
Johann Gagnon-Bartsch | Assistant Professor | Statistics, LSA | High-throughput and high-dimensional data analysis |
Vikram Gavini | Professor | Mechanical Engineering | Ab-initio calculations, DFT, electronic structure, exchange-correlation approximation, numerical methods |
Alex Gorodetsky | Assistant Professor | Department of Aerospace Engineering | Bayesian Inference, Decision making under uncertainty, Tensor Networks, Uncertianty Quantification |
Robert Gregg | Associate Professor and Director of Locomotor Control Systems Laboratory | Robotics, EECS (ECE Division), and Mechanical Engineering, College of Engineering | Control mechanisms of bipedal locomotion with applications to wearable and autonomous robots |
Emanuel Gull | Assistant Professor | Physics, LSA | Computational condensed matter physics |
Libby Hemphill | Research Associate Professor | School of Information | digital data, justice, social media |
Alfred Hero | Professor | EECS, College of Engineering Biomedical Engineering, College of Engineering Statistics, LSA |
Theory and algorithms for data collection, analysis and visualization |
Wei Hu | Assistant Professor | Computer Science and Engineering, College of Engineering | Deep Learning, Representation Learning, machine learning, optimization, theory |
Xun Huan | Assistant Professor | Mechanical Engineering, College of Engineering | Uncertainty quantification, and numerical optimization, data-driven modeling |
Edward Ionides | Professor | Statistics, LSA | Time series analysis for ecology, epidemiology, health economics and biology |
Abigail Jacobs | Assistant Professor | Information, School of Information Complex Systems, College of Literature, Science, and the Arts |
Computational social science, empirical design, governance, observational data, social networks, statistical inference |
H. V. Jagadish | Edgar F Codd Distinguished University Professor and Bernard A Galler Collegiate Professor; MIDAS Director | EECS, College of Engineering | Database systems, query models and analytics processes for reliable insight |
David Jurgens | Assistant Professor | School of Information | computational social science and natural language processing |
Danai Koutra | Assistant Professor | Computer Science and Engineering, College of Engineering | Mining and making sense of interconnected or graph data |
Elizaveta Levina | Vijay Nair Collegiate Professor | Statistics, LSA | Statistical inference on realistic models for network |
Rada Mihalcea | Professor | EECS, College of Engineering | Natural language processing, and applied machine learning, information retrieval |
Emily Mower Provost | Assistant Professor | Computer Science and Engineering, College of Engineering | Emotion modeling and assistive technology |
Raj Rao Nadakuditi | Associate Professor | EECS, College of Engineering | Statistical signal processing and random matrix theory |
Long Nguyen | Professor | Statistics, LSA EECS, College of Engineering |
Statistical inference in richly structured data |
Necmiye Ozay | Assistant Professor | EECS, College of Engineering | Heterogeneous data from sensor and information-rich networked dynamical systems |
Atul Prakash | Professor | EECS, College of Engineering | Design of operating systems and database mechanisms for sensitive data, Security, and adversarial machine learning., privacy |
Qing Qu | Assistant Professor | EECS, College of Engineering | Deep Learning, Inverse Problems, Nonconvex Optimization, Representation Learning |
Majdi Radaideh | Assistant Professor | Nuclear Engineering and Radiological Sciences, College of Engineering | Autonomous Control, Nuclear Reactor Design, Physics-informed Machine Learning, Uncertainty quantification, optimization |
Venkat Raman | Associate Professor | Aerospace Engineering, College of Engineering | Simulation of large scale combustion systems |
Jeffrey Regier | Assistant Professor | Statistics, LSA | Bayesian models and deep learning for scientific applications |
Daniel Romero | Associate Professor | Information, School of Information, Complex Systems, LSA, Electrical and Computer Engineering, College of Engineering |
Empirical and theoretical analysis of social and information networks |
Sarita Schoenebeck | Associate Professor | School of Information | Human-Computer Interaction, issues in digital society, social computing, social media |
Clayton Scott | Associate Professor | EECS, College of Engineering Statistics, LSA |
Quantitative predictions and inferences about large, complex data |
Kerby Shedden | Professor | Statistics, LSA Biostatistics, School of Public Health Director of Consulting for Statistics, Computing, and Analytics Research (CSCAR) |
Applied statistics, data science and computing with data |
Katie Skinner | Assistant Professor | Robotics, College of Engineering | Robot vision and perception, field robotics |
Vijay Subramanian | Associate Professor | EECS, College of Engineering | Stochastic modeling, decision and control theory and applications to networks |
Misha Teplitskiy | Assistant Professor | School of Information | computational methods, experimental methods, science of science |
Ambuj Tewari | Assistant Professor | Statistics, LSA EECS, College of Engineering |
Statistical methods for sequential decision making in personalized health |
Dawn Tilbury | Professor and Chair, Robotics | Robotics | Modeling and control for smart manufacturing, human-robot teaming |
Sabina Tomkins | Assistant Professor | School of Information | Computational social science, Political science, education, sustainability |
Shravan Veerapaneni | Associate Professor | Mathematics, LSA | Fast and scalable algorithms for differential and integral equations on complex moving geometries |
Lu Wang | Assistant Professor | Computer Science and Engineering, EECS | Natural language processing |
Xinyu Wang | Assistant Professor | EECS, College of Engineering | Programming languages, formal methods, software engineering, and artificial intelligence |
Yixin Wang | Assistant Professor | Statistics, LSA | Large-scale probabilistic machine learning, causal inference, machine learning for science |
Michael P. Wellman | Richard H Orenstein Division Chair of Computer Science and Engineering, Lynn A Conway Collegiate Professor | EECS (Computer Science and Engineering division), College of Engineering | Artificial Intelligence, electronic commerce |
Jenna Wiens | Associate Professor | Computer Science and Engineering, College of Engineering | Machine learning and data mining for healthcare data |
Gongjun Xu | Assistant Professor | Statistics, LSA | cognitive diagnosis modeling, high-dimensional statistics, latent variable models, psychometrics, semiparametric statistics |
Lei Ying | Professor | EECS, College of Engineering | Complex stochastic systems and big-data, and large-scale graph mining, private data marketplaces |
Y Z (Yang Zhang) | Professor | Nuclear Engineering and Radiological Sciences, College of Engineering | Far-from-equilibrium physics, extreme robots, liquid state physics, long timescale phenomena, neutron scattering, rare events, soft robots, statistical mechanics, swarm robots |
Ji Zhu | Professor | Statistics, LSA EECS, College of Engineering |
analysis of high-dimensional data, and their applications in health sciences, biology, finance and marketing., machine learning, statistical network analysis |