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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SPEAKERS
Michael Flashman
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.
SPONSOR
FORMAT
Two ~20 Minute talks + Q&A.
AGENDA
6:30PM: Doors Open
7:00PM: Welcome!
7:05PM: Talks + Q&A
8:30PM: Make Some New Friends
9:00PM: Doors Close
VIDEO
We will be recording the talks.
TECHNICAL LEVEL
TBD.
VENUE
Google Launchpad
543 Howard St, San Francisco, CA 94105
TRANSPORTATION
BART: 0.5 miles from Embarcadero Station. Map
FOOD & DRINKS
Yes! Provided by Google Launchpad.
CODE OF CONDUCT
Our conference is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of conference participants in any form. Sexual language and imagery is not appropriate for any conference venue, including talks, workshops, parties, Twitter and other online media. Conference participants violating these rules may be sanctioned or expelled from the conference without a refund at the discretion of the conference organizers. For full version, please see: confcodeofconduct.com. Please let us know if you have experienced or witnessed any form of harassment or any other concerns that you have experienced or witnessed. Report Harassment.
PHOTOGRAPHY
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COMMUNICATIONS
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PROMOTIONS
We do not make announcements for non-SVAI events or conferences at our gatherings. Distribution of flyers, printed media or other non SVAI related materials is not allowed at our events.
ATTENDING
This gathering is limited to 100 people. You MUST be pre-registered to attend. Registration must include your First and Last name, and some of our venues require ID for entry. You do not need to print a paper ticket. We will be checking people in the building lobby.
FAQ
We have a pretty thorough FAQ, please check it out here: FAQ.