Machine Learning for Automation and Optimization in Scientific Explorations
In addition to helping us better understand and predict biological and chemical systems, data and machine learning have begun to take on another crucial role: driving automation and optimization to facilitate scientific exploration at previously impossible speeds and scales.
To discuss and contextualize advances, challenges, and opportunities within this area of applied data science, we've invited two industry experts, Michael Flashman from Zymergen and Thomas Vetterli from Berkeley Lights. Each will give us some context for the work their company is doing, and then will join us for a moderated panel discussion to dive deeper into the topic.
Berkeley Lights is a company building an experimentation platform using machine learning image processing to automate intake of experimental results, enabling cell by cell selection and manipulation to empower development, antibody discovery and engineering for personalized therapies.
Founded in 2013 and based in the San Francisco Bay Area, Zymergen, a company applying Biology, Automation, and Data Science to strain optimization.
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Data Scientist, Zymergen
Michael Flashman is a Data Scientist at Zymergen Inc, where he is currently responsible for the design and implementation of Zymergen's strain recommendation platform. Before moving to the Data Science team, he was as an early member the Software team, developing core components of the automated strain design, build, and evaluation systems. He holds a masters degree in Applied Mathematics from Cornell University and a bachelors degree in Physics from Reed College. He is broadly interested in the emergence of structure and function in complex systems.
Machine Learning Software Engineer, Berkeley Lights
Thomas is a ML Software Engineer at Berkeley Lights, a company that's building an experimentation platform using machine learning image processing to automate intake of experimental results, enabling cell by cell selection and manipulation to empower development, antibody discovery and engineering for personalized therapies. Thomas received his BSc in Life Sciences and Technology and MSc in Bioengineering from Ecole Polytechnique Fédérale de Lausanne.
Two ~20 Minute talks + Q&A.
6:30PM: Doors Open
7:05PM: Talks + Q&A
8:30PM: Make Some New Friends
9:00PM: Doors Close
We will be recording the talks.
543 Howard St, San Francisco, CA 94105
BART: 0.5 miles from Embarcadero Station. Map
FOOD & DRINKS
Yes! Provided by Google Launchpad.
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