VantAI
Vivian Lam is a software engineer at VantAI. Vivian was previously a undergraduate teaching assistant at Stony Brook University and a summer intern at SANS Consulting Services, Inc.
Lam has a strong background in both computer science and mathematics. Vivian has been passionate about computers since they were young, and decided to pursue a career in software engineering after completing their undergraduate degree in computer science.
Lam is currently focusing on machine learning and artificial intelligence. Vivian is excited to be working at the forefront of these cutting-edge technologies and is looking forward to helping VantAI develop new and innovative products.
Vivian Lam studied computer science at Stony Brook University and Stuyvesant High School.
Some of their coworkers include Joel Beazer - Machine Learning Engineer, Natasha Zaliznyak - Translational Science Engineer, and Michał Jastrzębski - Senior Software Engineer. Vivian Lam reports to Luca Naef, Chief Technology Officer.
VantAI
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VantAI pairs bleeding-edge machine learning techniques with deep systems biology expertise to build computational models that uncover hidden relationships between molecules, targets, and diseases. These models power a best-in-class solution that identifies and generates new molecular entities for targets of interest, repurposes existing molecules at any stage of development, uncovers accurate ADME and toxicological insights, and predicts adverse events likely to influence trial success from deep analysis of systems-based pharmacogenomics. VantAI's in silico platform specializes in modelling complex protein-protein interactions, powering the discovery of biologics and protein degraders in addition to small-molecule drugs. It has helped leading biopharma partners launch new development programs--or revitalize old ones--at a fraction of the time and cost of traditional methods.