Research Interests
I am a quick learner with an interdisciplinary background and a strong passion for solving biological problems with AI. My research interests lie in AI for science, including:
- Biomolecular Design: This encompasses the generation of molecules, proteins, antibodies, etc.
- High-Throughput Omics Data Analysis Methods and Single-cell Genomics: Such as Hi-C, RNA-seq, ATAC-seq, and ChIP-seq.
- Medical Image Analysis
Research Experiences
Resolution Enhancement and Time Dimension Modeling for Hi-C Data
Visiting Student, School of Computer Science & Engineering, University of Washington
Advisor: Prof. William Stafford Noble, Prof. Sheng Wang, Jun. 2023 - Oct. 2023
Contrastive Protein-Molecule Representation Learning for Virtual Screening
Intern, Institute for AI Industry Research, Tsinghua University
Advisor: Prof. YanYan Lan, Feb. 2023 - Jun. 2023
Retrieval-Augmented Drug Generation
Intern, Institute for AI Industry Research, Tsinghua University
Advisor: Prof. Hao Zhou, Oct. 2023 - Present
High-throughput Genome-wide Functional Screening Based on CRISPR
Intern, Integrated Science Research Center, Peking University
Advisor: Prof. Wensheng Wei, Jul. 2021 - Sep. 2021
Research on Her2 and CXCR4 Bispecific Antibodies
Intern, School of Pharmaceutical Science, Tsinghua University
Advisor: Prof. Juanjuan Du, Oct. 2020 - Feb. 2021
Skills
- Mathematics: Calculus, Linear Algebra, Probability and Statistics, Discrete Mathematics, Data Structure and Algorithms.
- Programming Skills: Skilled at C/C++, Java, Python, R, SQL. Familiar with Linux/Unix.
- Familiar with Machine Learning and Deep Learning, including several Deep Learning Frameworks.
- Experimental skills: pharmacy, chemistry and biology