Cong Liu
About Cong Liu
Cong Liu is a Computational Scientist I at the Broad Institute of MIT and Harvard, specializing in molecular docking and free energy perturbation calculations to support drug discovery. He has a background in applied chemistry and computational chemistry, with previous roles at Stony Brook University as a research and teaching assistant.
Work at Broad Institute
Cong Liu has been employed as a Computational Scientist I at the Broad Institute of MIT and Harvard since 2022. This role is based in Cambridge, Massachusetts, and involves on-site work. In this position, Liu contributes to research initiatives focused on drug discovery and computational chemistry.
Previous Experience at Stony Brook University
Before joining the Broad Institute, Cong Liu held multiple positions at Stony Brook University. Liu worked as a Research Assistant from 2016 to 2021, where responsibilities included conducting research in computational chemistry. Additionally, Liu served as a Teaching Assistant for nine months in 2016, supporting undergraduate students in their studies. Liu also completed a Postdoctoral Researcher role at Stony Brook University from 2021 to 2022, furthering expertise in computational methods.
Education and Expertise
Cong Liu earned a Bachelor of Engineering (B.E.) in Applied Chemistry from Shanghai University, completing the program from 2009 to 2013. Liu furthered education at Stony Brook University, obtaining a Research directed Master of Science in Chemistry with a focus on Computational Chemistry from 2014 to 2016. Liu specializes in molecular docking and free energy perturbation (FEP) calculations, which are essential for drug discovery projects.
Research Contributions
During the tenure at Stony Brook University, Cong Liu developed a machine learning-based method aimed at efficiently exploring and identifying hit compounds from a vast chemical space containing billions of molecules. This innovative approach supports the identification of potential drug candidates, showcasing Liu's contributions to advancing computational methods in chemistry.