I am a second-year PhD student in Computer Science at the University of Massachusetts Amherst, being co-advised by Dr. Madalina Fiterau at the Information Fusion lab and Dr. Anna Green at the Sequence Analysis and Genomics (SAGE) lab. Now I am a Machine Learning Co-op (research intern) at Biogen, Synthetic Medicine Design, supervised by Dr. Ye Wang.

My research develops deep learning methods for generation and representation learning under real-world constraints. I work on multimodal representation learning, controllable generative models, the adaptation of pretrained language models, and reinforcement learning. Rather than treating them separately, I study how they combine into a single pipeline and use each component to improve or evaluate the others. I care as much about explaining why a method works or fails as about improving its numbers, and I pair method development with empirical analysis of robustness and generalization across molecular science and healthcare.

Before coming to UMass Amherst, I completed my Master’s degree with distinction in Applied Computational Science and Engineering from Imperial College London in 2024. I accomplished my master’s thesis “Hybrid CNN with Multimodal Data for Early Alzheimer’s Disease Forecasting” with the supervision of Dr. Madalina Fiterau and Dr. James Percival. I obtained a B.E. degree with distinction in Computer Science and Technology at China Agricultural University in 2023, and exchanged to the University of California San Diego in 2021 (University and Professional Studies program).

News

2026.5 My work at my internship in Biogen “Advancing Ligand-based Virtual Screening and Molecular Generation with Pretrained Molecular Embedding Distance” is available in arXiv, also accepted by ICML 2026 AI4Science workshop.

2026.3 Our paper “Mycopermenet-v2: Improved Prediction of Mycomembrane Permeation Using Fusion Noisy Student self-disTillation” has been published. All the data, code, and pretrained checkpoints are available in our GitHub repo. Also presented this work in ACS Spring 2026, Machine Learning and AI for Organic Chemistry session.

2026.1 — Started internship at Biogen in Cambridge as a Machine Learning Research Intern (Co-op).

2025.01 - Awarded Paul Utgoff Memorial Graduate Scholarship in Machine Learning at UMass Amherst.

2024.11 - Present a poster at New England Computer Vision (NECV) Workshop 2024, Yale University, New Haven, CT.