Michael Fatemi

Hi, I’m Michael Yoo Fatemi, an undergraduate studying Mathematics and Computer Science at the University of Virginia/UVA. I’m broadly interested in robotics and intelligent systems. This past summer, I worked as AI Resident at 1X Robotics, on foundation world models.

Please check out my blog posts for some fun projects!

Experience

• 2025 (May-Aug): AI Resident at 1X Technologies (Generative video models for robotics)
• 2024 (June-Aug): Robotics Intern at the US Army Research Lab (Scene reconstruction with natural language grounding)
• 2023 (June-Aug): Student Researcher at the US Army Research Lab (Reinforcement learning)
• 2022-2023: Student Researcher at the Dartmouth Levy Lab (Bioinformatics-oriented computer vision)

Publications

• SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills
  Boyuan Zheng*, Michael Y. Fatemi*, Xiaolong Jin*, Zora Zhiruo Wang, Apurva Gandhi, Yueqi Song, Yu Gu, Jayanth Srinivasa, Gaowen Liu, Graham Neubig, Yu Su (Under review) (Equal contribution)
• Reinforcement Learning with Graph Neural Networks Enables Zero-Shot Deceptive Path Planning Over Arbitrary Graphs
  Michael Y. Fatemi, Wesley A. Suttle, Brian M. Sadler (AAMAS, 2024) (extended abstract)
• Spatial omics driven crossmodal pretraining applied to graph-based deep learning for cancer pathology analysis
  Zarif L. Azher, Michael Y. Fatemi, Yunrui Lu, Gokul Srinivasan, Alos B. Diallo, Brock C. Christensen, Lucas A. Salas, Fred W. Kolling IV, Laurent Perreard, Scott M. Palisoul, Louis J. Vaickus, Joshua J. Levy (Pacific Symposium on Biocomputing, 2024)
• Inferring spatial transcriptomics markers from whole slide images to characterize metastasis-related spatial heterogeneity of colorectal tumors: A pilot study
  Michael Y. Fatemi, Eric Feng, Cyril Sharma, Zarif Azher, Tarushii Goel, Ojas Ramwala, Scott M. Palisoul, Rachael E. Barney, Laurent Perreard, Fred W. Kolling, Lucas A. Salas, Brock C. Christensen, Gregory J. Tsongalis, Louis J. Vaickus, Joshua J. Levy (Journal of Pathology Informatics, 2023)

Activities

• Cavalier Autonomous Racing
• Rubik’s Cube Speedsolving (2013FATE01)
• Korean Student Association at UVA

Courses

• Reinforcement Learning (Graduate)
• Natural Language Processing (Graduate)
• Digital Signal Processing
• Partial Differential Equations
• Linear Algebra
• Cognitive Neuroscience
• Real Analysis
• Abstract Algebra
• Quantum Physics I/II
• Condensed Matter Theory
• Statistical Mechanics
• Electricity and Magnetism I/II