Reinforcement learning on the Nova Forge team.

Studying mechanistic interpretability of object relation circuits in diffusion transformers.

Selected to learn about Jane Street’s trading & tech through trading games and sessions with engineers.

Selected as 1 of 18 participants for Jump Trading’s inaugural Early Access cohort.

Researched temporal video models and optical flow techniques for AI detection of slow-played video data.

Developed a robust GenAI product visualization application with a multi-step AI model workflow.

Led free advanced STEM programs reaching 700+ students in 20+ countries.

Conducted RNAseq analysis on immunosuppression and inflammatory phenotypes, mapped 122 genetic biomarkers of lung cancer, proposed diagnosis probe and novel therapeutic strategies.

“Deep Learning Modeling and Increasing Interpretability of Lung Nodule Classification” • presented at The 16th IEEE Conference on Electronic Computers & Artificial Intelligence (ECAI)

“AI-Based Detection of Autism Spectrum Disorder Using Linguistic Features” • presented at The 3rd International Conference on Computing & Machine Intelligence (ICMI-2024)