about
I am an undergraduate student at the University of Michigan, Ann Arbor, majoring in Honors Data Science & Statistics with a minor in History. Previously, I studied Statistics & Computer Science at the University of Illinois Urbana-Champaign. My research interests span generative AI, privacy-aware machine learning, and human-computer interaction.
research
- Generative AI: music and audio generation, human-GenAI interaction
- Privacy & Security: geolocation attack/defense with diffusion models and VLMs
- Statistical Machine Learning: dimension reduction, Bayesian methods, wearable data analysis
- Climate Science: aerosol-cloud interactions, statistical modeling
projects
- Universal Optical Music Recognition
2025.10 → now
A universal OMR framework for visually complex notations, plus real-time human-GenAI interaction for controllable music generation. - Geolocation Privacy — Attack & Defense
2025.10 → now
Privacy-driven geolocation attack and defense frameworks built on diffusion models and vision-language models. - Sufficient Dimension Reduction in JAX
2025.01 → now
SDR for multilevel wearable data from bone marrow transplant patients — re-implemented in JAX with a 7,000× speedup.
experience
- Generative AI for Music and Audio, UMich — Research Assistant
2025.10 → now
Building a universal optical music recognition framework for visually complex notations; exploring real-time human–GenAI interaction for controllable music generation. - Ambient Intelligence Lab, UMich — Research Assistant
2025.10 → now
Developing privacy-driven geolocation attack and defense frameworks using diffusion models and VLMs; designing intelligent IoT sensing systems with Moiré-pattern optical sensors. - Energy Distance Dimension Reduction, UMich — URPS
2025.01 → now
Applying sufficient dimension reduction to multilevel wearable data from bone marrow transplant patients; re-implementing SDR algorithms in JAX with 7,000× speedup. - Lab of Atmospheric and Earth System Sciences, Nanjing University — Summer
Research Intern
2024.05 → 2024.08
Applied statistical machine learning to study aerosol-cloud interactions and improved simulations of aerosol optical properties and climate effects. - E2-E Lab, UIUC — Undergraduate Research Assistant
2023.08 → 2024.05
Conducted airflow experiments with PIV data processing and CFD simulations to analyze particle–airflow interactions in complex 3D geometries.
etc
- Michigan Daily: News reporter, photographer, and videographer — producing multimedia content including short-form videos and digital features.
- ISTORM (UIUC): Member of the Illinois Student Organization of Meteorology, the student chapter of the American Meteorological Society, focused on severe and hazardous weather forecasting.
- History: Passionate about history with a minor in the subject, exploring how past events shape our understanding of the present.
- Meteorology: A lifelong fascination with weather and atmospheric science, from storm chasing to climate modeling.