Experience

Some of my work and research.

Jun 2026
(incoming)

Quantitative Trading Intern

Citadel Securities

Statistical research projects alongside training in game theory, mock trading, and finance.

May 2025 –
Aug 2025

Machine Learning Engineer

Morph Labs

Building a brain–computer interface that uses EEG signals to control prosthetic limbs (currently in amputee pilots). Set SOTA on PhysioNet (97% accuracy, 200k-parameter model). Built a self-supervised time-series pipeline on AWS for real-time streaming and online fine-tuning. $1.5M pre-seed; Rice Summer Venture Studio 2025; NeurIPS workshop demo.

PyTorchSignal ProcessingAWSEmbedded
Prosthetic arm demo
Our prototype prosthetic arm in action.
Oct 2024 –
present

Researcher

Duke Cyber-Physical Systems Lab

Designed a framework to generate RL policies in resource-constrained settings under Dr. Miroslav Pajic. Built a diffusion model that jointly generates neural network architectures and weights, skipping training entirely. Tested on a Unitree Go2 and in ManiSkill / IsaacLab. Paper accepted at ICML 2026 (NNiT).

Reinforcement LearningDiffusionManiSkillPyTorch
Generated RL policy demo
A generated policy doing the PushT task in ManiSkill.
May –
Aug 2024

Computer Vision Research Intern

Duke University, CS+

Extracted fiber-optic network topologies from maps and built a self-updating database of nodes and links. Trained image segmentation models (91% Mean IoU) and transformer feature matchers; generated 100k+ synthetic training images and automated discovery with Puppeteer.

Computer VisionLoFTRPyTorchSlurm
Research poster from Summer 2024
Summer 2024 Poster — click to enlarge.
Jan 2023 –
present

Teaching Assistant

Duke University

Undergraduate: Data Structures & Algorithms (CS201), Machine Learning (CS371). Graduate: Numerical Analysis (Math 565D).