Mathematical biology and deep learning in a 10,000 ft² SF mansion

*** Full details including contact information are available at http://topos.house/cfp ***

Seeking residents to join a new coliving community housed in a 10,000 ft² mansion in San Francisco. Thematic events — workshops, invited talks, dinners, etc. — are held regularly, mostly during evenings and weekends.

Specific objectives are:

• To maintain a thriving culture wherein people not only like each other, but are consistently present to support each other in doing their best work;
• To ensure that everyone comes away with a basic understanding of everyone else’s field;
• To abstract away the pedestrian details of running a group house and associated events, so that people are free to devote themselves to the things most meaningful to them;
• To complement rather than conflict with the tenure of a full-time position elsewhere;
• To produce interesting and useful output, whether new results or new resources;
• To form a strong alumni network spanning every field of scientific research.

We invite anyone interested in the following to apply:

• Biology is extraordinarily complex, yet our two best tools for controlling complexity, namely mathematics and computation, are largely unemployed by biologists.
• Powerful machine learning techniques such as deep neural networks are maturing quickly, yet are not finding applications nearly as quickly in areas far removed from the imaginations of their inventors.
• Mathematics has flourished around problems in physics but not nearly as much around problems in biology, ecology, etc.

Topics of particular interest include (but are not nearly limited to):

• Network theory
• Deep learning for genomics and proteomics
• Thermodynamics of adaptation
• Whole cell simulation

The house is located in the St. Francis Wood neighborhood of San Francisco, a 5-minute walk from the West Portal Metro station, which is a 15 minute ride from downtown, and a 30 minute drive to Stanford. Ample free parking is available.

*** Full details including contact information are available at http://topos.house/cfp ***