DSI Alumni Use Machine Learning to Discover Coronavirus Treatments

Maria J. Danford

Two graduates of the Data Science Institute (DSI) at Columbia College are using computational design to rapidly explore therapies for the coronavirus.

Andrew Satz and Brett Averso are chief executive officer and chief know-how officer, respectively, of EVQLV, a startup making algorithms capable of computationally making, screening, and optimizing hundreds of hundreds of thousands of therapeutic antibodies. They use their know-how to explore therapies most possible to support people infected by the virus accountable for COVID-19. The machine understanding algorithms promptly monitor for therapeutic antibodies with a high probability of good results.

Picture credit history: Pixabay (Free of charge Pixabay

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