Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship

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Schmidt AI in Science Fellows

2022 Cohort

James Boyko

Computational methods to understand macroevolutionary biology

Yossi Cohen

Responsible AI for Industrial Decision-Making

Nathan Fox

Crowdsourced data ML to understand human-nature interactions

Jennifer Li

Studying the transient sky with AI

Andreas Rauch

Data-driven modeling for Computational Fluid Dynamics

Soumi Tribedi

AI methods to solve electronic structure problems in chemistry

Anastasia Visheratina

AI for advanced functional materials and devices

Yutong Wang

Developing machine learning theory to support scientific and engineering applications

Xin Xie

AI in topological photonics

Program Team

Bill Currie

Program co-Director

Professor and Associate Dean for Research and Engagement, SEAS

H.V. Jagadish

Program Director

Edgar F Codd Distinguished University Professor & Bernard A Galler Collegiate Professor of Elec. Eng. and Computer Science; MIDAS Director

Jing Liu

Program co-Director

MIDAS Managing Director

Benjamen Surgalski

Administrative Assistant

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

Krishna Garikipati

Professor of Mechanical Engineering, College of Engineering, Director of Michigan Institute for Computational Discovery and Engineering

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

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

Douglas Richstone

Lawrence H. Aller Collegiate Professor of Astronomy

Curriculum Committee

Bill Currie

Professor and Associate Dean for Research and Engagement, SEAS

David Fouhey

Assistance Professor of Electrical Engineering and Computer Science

Danai Koutra

Associate Professor of Electrical Engineering and Computer Science

Ambuj Tewari

Professor of Statistics

Lu Wang

Assistant Professor of Computer Science and Engineering

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