Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship
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

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

Sharon Glotzer
John Werner Cahn Distinguished University Professor and Chair, Dept. of Chemical Engineering

Eric Michielssen
Louise Ganiard Johnson Professor of Engineering; Associate Dean for Research, College of 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 |
Fadhl Alakwaa | Assistant Research Scientist | Internal Medicine | Machine learning, personalized medicine, predictive modeling |
Karen Alofs | Assistant Professor | School for Environment and Sustainability | Integrating data on environmental change and ecological communities |
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 |
Elizabeth Bondi-Kelly | Assistant Professor | Computer Science and Engineering | AI for social impact |
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 |
Timothy Cernak | Assistant Professor | Medicinal Chemistry | Computational design of chemical reactions and synthesis |
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 |
Ivo D. Dinov | Professor | Computational Medicine and Bioinformatics | Mathematical modeling, statistical analysis and data visualization |
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 |