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 summer, I will be in Sunnyvale as an AI Resident at 1X Robotics working on foundation world models to train humanoid robots.

I will be applying for a PhD in 2025 Fall. Please feel free to reach out, I would appreciate any connections!

Please check out my blog posts for some fun projects!

Experience

• 2024 (June-): Web Agents Student Researcher at the OSU NLP Group (Self-Improving Language Agents for Web Navigation)
• 2024 (June-Aug): Robotic Perception Engineering Intern at the US Army Research Lab (Scene Reconstruction with Natural Language Grounding)
• 2023 (June-Aug): Reinforcement Learning Student Researcher at the US Army Research Lab (Reinforcement Learning)
• 2022-2023: Bioinformatics Student Researcher at with Dartmouth Levy Lab (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
• Collaborative Robotics Lab at UVA
• Korean Student Association at UVA
• Rubik’s Cube Speedsolving (2013FATE01)

Courses

• Reinforcement Learning (Graduate)
• Natural Language Processing (Graduate)
• Digital Signal Processing
• Partial Differential Equations
• Linear Algebra
• Cognitive Neuroscience
• Real Analysis
• Abstract Algebra