Research

Ideas I’m Drawn To,
Problems Worth Solving

My research work spans assistive sensing, embedded systems, multimodal reasoning, and theoretical machine learning.

Assistive Sensing & Embedded Systems Lab

Research Assistant | with Prof. Anna Hickerson (KGI) | 2025 - Present

UIST 2026

Developing a full-functional single-handed assistive controller for accessible gaming and human-computer interaction.
Integrating IMU sensing, embedded firmware, on-device models, and FPGA-linked components for robust real-time interaction.
Iterating on end-to-end hardware and control pipelines to improve usability, reliability, and deployment readiness.

SeeingEye Multimodal Reasoning

Researcher | with Prof. Jiaxuan You, University of Illinois Urbana-Champaign | 2026

NeurIPS 2026

Built routing components for the SeeingEye workflow and ran experiments on multimodal reasoning benchmarks.
Revised and optimized workflow stages to improve algorithm efficiency, information flow, and evaluation stability.
Supported implementation and empirical analysis for agentic multimodal reasoning in text-only LLM settings.

Theoretical Machine Learning

Researcher | with Prof. Zhao Song, Princeton University & Adobe Research | 2025 - 2026.3

Studied probabilistic and optimization properties of modern learning algorithms in theoretical machine learning settings.
Worked on questions related to representation learning, generalization, and efficiency in large-scale models.
Developed mathematical analyses and proof-oriented reasoning for research problems at the interface of theory and machine learning.