Bio ML seminar series
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Bio ML seminar series

Biology is moving faster than ever, and we’re making rapid progress in modeling useful biological systems in silico.

ML is poised to have a huge impact on the entire field in the next decade — and Machine Learning at Berkeley is running a seminar series with researchers and leaders leveraging ML to stay at the cutting edge of biology: they’re working to change healthcare through vaccine development, antibody design, single cell analysis, and all sorts of protein engineering. Come join us to see how you can make GPUs go brrr in the service of designing life-saving therapeutics instead of just making them paint cartoons for you.

Event List

Spring 2024

Jan 29 — Sam Rodriques, founder of Future House | recording (password: 0T*VuE55)

Sam Rodriques is a researcher and entrepreneur with a focus on biotechnology. He founded the Applied Biotechnology Laboratory at the Francis Crick Institute in 2021, aiming to integrate bioengineering and business for medical and biological advancements. Sam's notable inventions include a new nano-fabrication method, a technique for neural activity sensing via bloodstream probes, and advancements in RNA sequencing. He's also developed a method for protein sequencing and a technique for mapping brain connections. In 2023, Sam established Future House in San Francisco, a project dedicated to creating an AI Scientist.

Feb 12 — Dave Mathus and Keith Cheveralls, Arcadia Science

Dave and Keith will discuss Arcadia’s recently released nematode embryogenesis classifier and walk attendees through their central biological research question, the time-course imaging data, the intricacies of the classifier, and the greatest challenges they encountered in the project. This will be an interactive session where feedback and discussion are highly encouraged.

Feb 15 — BioML Lecture from Aakarsh Vermani | recording (password: yHzF%R9%)
Feb 26 — Thomas Kalil, CIO of Schmidt Futures | signup

Thomas Kalil is the Chief Innovation Officer at Shmidt Futures, where he leads initiatives to harness technology for societal challenges, improve science policy, and identify and pursue 21st century moonshots.

Prior to Schmidt Futures, Tom served in the White House for two Presidents (Obama and Clinton), helping to design and launch national science and technology initiatives in areas such as nanotechnology, the BRAIN initiative, data science, materials by design, robotics, commercial space, high-speed networks, access to capital for startups, high-skill immigration, STEM education, learning technology, startup ecosystems, and the federal use of incentive prizes.

Mar 4 — Rhiju Das, Stanford/HHMI investigator | signups soon
Mar 18 — Stephan Eismann, ML lead at Atomic AI | signups soon

Fall 2023

Oct 2 — Peyton Greenside, co-founder BigHat Biosciences

A pioneer of deep learning applied to life science problems, Peyton has developed computational, statistical, and AI/ML techniques to model, understand, and optimize biological sequences in academia and industry. Peyton was an inaugural Schmidt Science Fellow, a computational biologist at the Broad Institute, a scientific founder of Valis, and holds a PhD from Stanford University (Accel Innovation Scholar), an MPhil in Computational Biology from Cambridge University (Herchel Smith Scholar), and a BA in Applied Math from Harvard.

She founded BigHat Biosciences in 2019, enabling drug developers to create antibodies and complex therapeutics much faster than usually possible.

Oct 9 — Soham Sankaran, founder PopVax

Soham Sankaran is the founder of PopVax, an Indian biotechnology company based in Hyderabad building a novel thermostable, low-cost, and safe second-generation mRNA platform for rationally-designed broadly-protective multi-epitope vaccines. Soham dropped out of the PhD program in the Computer Science department at Cornell, where his research was focused on robotics and distributed systems. He previously did sociology research at the Human Nature Lab, part of the Yale Institute for Network Science.

Oct 23 — Elliot Hershberg, writer/investor at The Century of Biology

Elliot Hershberg is a Scientist, Writer, and Investor dedicated to accelerating The Century of Biology. His diverse experiences in biotechnology include designing cancer vaccines, developing computational tools for spatial genomics technologies, and working as a software engineer on a modern genome browser. Elliot's mission is to push the boundaries of biological advancements.

Berkeley-ML-CB-talk-2023.pdf20879.8KB
Nov 6 — Simon Kohl, founder Latent Labs

Simon is the founder of Latent Labs, a company developing generative foundation models for all molecules of life. Latent’s mission is to make synthetic biology programmable. The team is currently based in London and joined by heavy hitters from DeepMind, University of Oxford and Cambridge.

Simon has led DeepMind’s protein design team and helped set up DeepMind’s wet lab at the Francis Crick Institute in London. Before that, he was a member of the AlphaFold2 team, where he contributed to the core deep learning algorithm, including developing the uncertainty estimate that is now widely known as pLDDT.

Dec 5 — Brian Hie, supervisor of the Laboratory of Evolutionary Design

Brian's lab conducts research at the intersection of biology and machine learning. Before starting his own lab, Brian did his PhD at MIT, his postdoc at Stanford Medicine, and was a visiting researcher at Meta AI where he worked on designing a programming language for protein design, along with ESM-2 and ESMFold.

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Sign up on the calendar to stay updated when we announce the next talk: https://lu.ma/bioml (click “Subscribe”)
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