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.

My research focuses on multimodal representation learning and transfer under real-world data constraints. I work on learning aligned representations from multimodal and weakly paired data, adapting large pretrained models to downstream tasks through parameter-efficient fine-tuning, and developing empirical analyses to assess the robustness and reliability of transfer in real-world biomedical data, such as Alzheimer’s Disease and molecular data.

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

2025.12 - I will be a Machine Learning Research Intern at Biogen in Boston from January to June!

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.