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Friday, October 4 • 1:45pm - 2:05pm
AI in Chemistry- Optimization of Chemical Reactions using Probabilistic Models

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Can we accelerate the process of molecular discovery by combining automation with machine learning tools? Rapid development of new molecules with tailored properties is crucial for the chemical, petrochemical, pharmaceutical, and electronic industries, to name just a few. Our team is developing a closed-loop autonomous chemical discovery platform that generates new hypotheses, tests them, and uses those results to determine the next iterations. I will talk about how we at Kebotix employ probabilistic machine learning in efficient optimization of chemical reactions, one of the fundamental tasks in this process. 

Speakers
avatar for Dennis Sheberla, PhD

Dennis Sheberla, PhD

CTO, Kebotix
Dennis Sheberla, chief technology officer, has a multi-disciplinary background and a passion for computer science, artificial intelligence, and robotics. His expertise lies in organic chemistry, materials characterization, computational chemistry and machine learning. Before co-founding... Read More →

Chairs

Friday October 4, 2019 1:45pm - 2:05pm
Theater Ballroom (5th Fl) - Courtyard Boston Downtown 275 Tremont Street, Boston, MA 02116