Publications: Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals (Co-first author with Yunfei Luo); MoCA: Multi-modal Cross-masked Autoencoder for Digital Health Measurements (Co-first author with Howon Ryu). Projects include: Vivid Panels - Deep Neural Networks for Manga Colorization; VitT - Vision-Topological Transformer for Medical Image Classification; E-StyTR^2 - Efficient Image Style Transfer with Transformers; Image-to-Image Retrieval with CLIP; Navigating the Landscape of Explanation Multiplicity.
Research Experience
Joined the PhD program in Computer Science at Dartmouth College under the supervision of Prof. Andrew Campbell in Sep 2025; Worked as a Research Assistant under the supervision of Prof. Jingjing Zou and Prof. Loki Natarajan from May 2025 to Sep 2025; Joined MOSAIC Lab as a Research Assistant, collaborating with Yunfei Luo under the advisement of Prof. Tauhidur Rahman in March 2024; Started working as a graduate student researcher under the supervision of Prof. Jingjing Zou on an NIH-funded project in July 2024; Served as a Supply Chain Analyst at Micro Ingredients from October 2022 to September 2023.
Education
Ph.D. Student in Computer Science at Dartmouth College, advised by Prof. Andrew Campbell; M.S. in Data Science from the University of California, San Diego, where he worked with Prof. Jingjing Zou and Prof. Tauhidur Rahman.
Background
Interested in using large language models, multimodal models, and agent systems for health data analysis. Focuses on developing methods that enable these models to handle continuous and noisy wearable sensor streams to infer health outcomes.