Sai Zhang

Sai Zhang,

Assistant Professor

Department: Department of Epidemiology
Business Phone: (352) 273-5468
Business Email:

About Sai Zhang

Research Profile

Our research lies at the interface of machine learning, genomics, and precision medicine. Our long-term goal is to build machine learning systems to assist scientific discovery, clinical decision making, and personal health management. The focus of our ongoing research is the development of machine learning algorithms (e.g., deep learning and probabilistic graphical models) which exploit massive genetic, multiomic, and clinical data to uncover the genomic basis of complex human diseases. Specifically, our work follows a variant-gene-pathway principle where we start from deep learning modeling of biological sequences (e.g., DNA and RNA) to predict functional effects of variants in different cellular processes (i.e., in silico mutagenesis; NAR 2016, Cell Systems 2017, Bioinformatics 2017). We then move on to a global modeling of genotype-phenotype mapping where we identify candidate risk genes (Neuron 2022, Cell Systems 2022) and predict phenotypes from personal genomes (Cell 2018). By leveraging cutting-edge techniques (e.g., deep learning and single-cell genomics), we are particularly interested in modeling the complexity (e.g., nonlinearity and cell-type-specificity) of the underlying biological system (Cell 2019).

Areas of Interest
  • Computational biology
  • Genetics
  • Genomics
  • Machine Learning
  • Precision Medicine


Ph.D. in Computer Science and Technology
2017 · Tsinghua University
M.E. in Computer Technology
2013 · Tsinghua University
B.E. in Computer Science and Technology
2010 · Nanjing University of Science and Technology

Contact Details

(352) 273-5468
Business Street: