Vice President, Engineering
Combining experimental biology and bioinformatics to identify 100 new treatments in 10 years.
I have worked at all stages of creating machine learning products. From the initial framing of the problem and task, to dataset collection and generation, to research (feature engineering, model selection, and custom algorithm development), to moving the research into production and maintaining and improving both the models and systems. Aside from machine learning I am also interested in visualization, especially making ML balck box models such as deep learning more interpretable. I'm a programming languages geek and in an alternate steampunk universe I focused my career on distributed systems. (Maybe someday I'll write a distributed probabilistic programming language with fancy visualizations to appease all my technical interests!) Some people would call me a data scientist but I still can't figure out what that means.
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