Schmidt AI in Science Fellows
2024 Cohort
Tsige Atilaw
AI/ML for space debris detection
Haotian Chen
Power systems (batteries) for aviation
Zheng Guo
Improving simulation methods
Xinyu Liu
Mobility system design and operations
Xiaofeng Liu
Water resources management
Madeline Peters
Within-host infection dynamics
Eunjae Shim
Biocatalysis
Jamila Taaki
Exoplanets
Seth Temple
Statistical genetics and genomics
Xin Wei
Landslide risk assessment
2023 Cohort
Kamal Abdulraheem
AI management of nuclear reactors
Jacob Berv
ML models for avian evolution
Vital Fernández
Deep Learning for spectral analysis for distant galaxies
Matthew Andres Moreno
Digital Evolution
Kevin Napier
Computer Vision Detecting the faintest objects in the Solar System
Alyssa Schubert
Leveraging machine learning and soft sensing to predict drinking water quality
Elena Shrestha
Intelligent visual and flow-based navigation for autonomous underwater vehicles
Yiluan Song
Projecting nature’s calendar under climate change
Nanta Sophonrat
Chemist in the loop ML for plastics recycling
Weichi Yao
Causal reasoning in materials science
2022 Cohort
Soumi Tribedi
AI Methods to Solve Electronic Structure Problems in Chemistry
Xin Xie
AI in Topological Photonics
Alumni
James Boyko
Computational Methods to Understand Macroevolutionary Biology
Joseph (Yossi) Cohen
Responsible AI for Industrial Decision-Making
Nathan Fox
Leveraging AI for biodiversity science, conservation, and human-nature interactions
Jennifer Li
Studying the Transient Sky with AI
Andreas Rauch
Data-Driven Modeling for Computational Fluid Dynamics
Christin Salley
Analysis of equitable social and infrastructure systems and services with AI applications
Anastasia Visheratina
AI for Advanced Functional Materials and Devices
Yutong Wang
Developing Machine Learning Theory to Support Scientific and Engineering Applications
Schmidt African Faculty Fellows
2025 Cohort
Coming soon!
Michigan Data Science Fellows
2024 Cohort
Mohna Chakraborty
Methodology / Social Science
Amirhossein Moosavi
Harness learning-based advanced analytics to optimize kidney transplantation decision-making, improve the matching of lower-quality kidneys, and minimize discard rates.
Rosiana Natalie
Empirical Contribution / Medical and Accessibility
Alumni
Stephen Ajwang
Big data analytics for climate smart agriculture
Maryam Bagherian
Online tensor recovery methods
efrén cruz cortés
Bias and discrimination reproduction in algorithms
Arya Farahi
Cosmology and fundamental physics
Edgar Franco-Vivanco
Analysis of historical data, criminal violence, Latin America, Natural language processing
Dan Li
Intelligent systems behaviors
Qianying Lin
Epidemic trends and genealogical patterns
Bernardo Modenesi
Unsupervised learning methods
Johanna Okerlund
Ethics in Computer Science
Patrick Park
Structure and evolution of large-scale human social networks
Elyas Sabeti
Information theory, machine learning and signal processing
Jeremy Seeman
Refining formal privacy methods and applying them to survey data
Ian Stewart
Ntural language processing models and social information
Elyse Thulin
Computational methods and human behaviors
Maria Han Veiga
Computational fluid dynamics
Blair Winograd
Writing-to-learn pedagogies
Postdoctoral Affiliates
2025 Cohort
Coming soon!