Basecamp Research is extremely excited to introduce our new Graph Data Science advisor: Alicia Frame.
Alicia has been studying the relationships between biological and chemical compounds, from small molecules to proteins, her entire life. Her specialty for most of her career has been chemoinformatics, which involves building mathematical models of chemical activity to find new drugs or identify potentially toxic compounds. The techniques used in cheminformatics naturally extend to systems biology in general, like how we’re using the relationships between proteins to make inferences about what they do in our BaseGraph™.
Alicia is currently a Senior Product Manager at Google, leading the Developer Knowledge portfolio, including Google’s internal DeveloperGraph. She spent nearly four years at Neo4j, where she was the Senior Director for Graph Data Science. There, she built Neo4j’s Graph Data Science product, a suite of machine learning tools and features and played a key role in making Neo4j the leading Graph Data platform that it is today. She combined her love for biology and mathematics in earlier data science roles at BenevolentAI, Dow AgroSciences, the US Environmental Protection Agency, and the US Department of Agriculture. She’s got a Ph.D. in Computational Biology from the University of North Carolina at Chapel Hill and a B.S. in Biology and Mathematics from the College of William and Mary in Virginia.
At Basecamp Research, we use the connectivity and context of nature to design proteins. Every protein and the corresponding metadata that we sample is represented on BaseGraph, and we use the graph structure itself to predict function and generate novel proteins. Alicia’s unique skillset combining biology and graph data science allows us to work on the cutting edge of protein design, and we can’t wait to see what we can achieve together.