Onat Ozer
University of Michigan. Ann Arbor, MI
Hello 👋 I’m Onat. My research goal is to try to understand how learning works in all its various forms. My belief is that intelligence is not unique to humans and that it follows some shared universal physical laws, humans just so happen to be great at taking advantage of them. To that end, I find deep-RL and LLMs particularly promising because they’re methods of artificial intelligence directly inspired by how humans think.
I’m currently an undergraduate at University of Michigan studying Mathematics and Computer Science. For the last 3 years, I was a part of Perry Sampson’s LearningClues MDP group, where I researched systems that could automatically generate questions from professors’ lectures and determine how much time was devoted to which topic throughout lecture. The following summer I worked at the University of Cinncinati’s biomedical sciences lab, where we studied how ml could be practically implemented to help physicians, and I’m currently working at the Liu Lab on optimizing their GPU algorithms.
📝 Papers
2025
- EECS 498 Final Paper
MAR:Multi-Agent Reflexion Improves Reasoning Abilities in LLMs - BMES Abstract Accepted
Automated Generation Of Angle and Height Measures in Distal Radius Fracture Recovery Prediction. - CMPLXSYS 530 Final Paper
Visualizing Internal Neural Network Dynamics Through Network Analysis Of Co-activation Graph Of Neural Network.