Experience

GenScript

• United States
• Biotechnology Research
• 400 - 500 Employee

• Senior Bioinformatics Scientist

  • Jul 2023 - Present

  I'm leading projects utilizing large-scale pre-trained deep learning models on DNA or protein sequences to optimize and accelerate sequencing and DNA synthesis workflow. I'm leading projects utilizing large-scale pre-trained deep learning models on DNA or protein sequences to optimize and accelerate sequencing and DNA synthesis workflow.



The Ohio State University Department of Biomedical Informatics

• Columbus, Ohio Area

• Graduate Research Assistant

  • Aug 2018 - May 2023

  In my early Ph.D. career, I proposed two novel graph neural network models to predict protein functions and pseudogene functions, leveraging the information underlying complex biological networks. My second half of Ph.D. career was working on discovering cancer cell-specific synthetic lethality gene pairs using supervised machine learning models, especially graph neural networks and graph transformer models. The ultimate goal is to screen potential synergistic drug pairs for cancer therapy, and guide the biologists to perform the next experiment by way of active learning or reinforcement learning models. Show less



Keya Medical

• United States
• Medical Device
• 1 - 100 Employee

• Intern Student

  • Aug 2017 - Feb 2018

  Implemented a fast t-SNE algorithm for single cell discovery and characterization up to hundreds to millions of cells in a scalable way Implemented a fast t-SNE algorithm for single cell discovery and characterization up to hundreds to millions of cells in a scalable way