I’m a first year Ph.D. student at Massachusetts Institute of Technology in the Department of Electrical Engineering and Computer Science.

Before that, I obtained my B.Eng. degree in Computer Science and Engineering from Tsinghua University in 2025.

I’m deeply curious about the mysteries of life, with an aspiration to unravel the complexities of biological systems and drive transformative breakthroughs in healthcare.

I combined my computational background with my passion for biology, focusing on leveraging AI and machine learning techniques to better understand life systems and solve biomedical problems.

Research Interets

• AI for Biology
• Multi-modal Machine Learning
• Biological Networks and Systems
• Drug Discovery and Therapuetics
• Interpretability

I am interested in developing machine learning methods to learn holistic and meaningful representations of biological entities in silico. I aspire to uncover the underlying regulatory circuits within and between cells by leveraging insights extracted from large-scale, integrative data through computational methods and analytical tools, ultimately advancing disease treatments and therapeutics.

For a more detailed account, please visit the research page.

Research Experiences

• PhD student at MIT, rotating with Prof. Alex Rives and working on conditional guidance for generative protein language models.
• Student Researcher at CMU, working with Prof. Jian Ma on spatial transcriptomics.
• Research Intern at BioMap, working on protein language models under the guidance of Prof. Le Song.
• Student Researcher at Tsinghua University, working with Profs. Yuxiao Dong and Jie Tang on diffusion-based target-aware molecule generation.
• Student Researcher at Tsinghua University, working with Prof. Jianyang Zeng on leveraging knowledge graphs for disease target prediction.

For further details, please refer to my CV and the publications page.