Livestream
The workshop will be streamed by NeurIPS at these links: Session 1, Session 2, Session 3, Session 4.
Participate
LMRL will be featuring some of the best efforts in biology and machine learning to spur the next generation of data-driven biological problem-solving. An emphasis on interpretable learning of structure and principles will be applied to work on the level of the genome, molecule, cells, and phenotype.
LRML at NeurIPS will begin at 8:30am on Friday, December 13th, at the Vancouver Convention Center. If you are presenting a poster, make sure to arrive between 7:30-8:30am to hang it. Talks and participation by:
Aviv Regev |
Anne Carpenter |
Alan Asparu-Guzik |
Alan Moses |
Alex D’Amour |
Brookes Paige |
Casey Greene |
Chang Liu |
Daphne Koller |
Dana Pe’er |
Danilo Bzdok |
Dan Yamins |
David Duvenaud |
David Haussler |
David Jones |
David Reshef |
Debora Marks |
Djork-Arne Clevert |
Eli Van Allen |
Frank Noe |
James Zou |
Joshua Weinstein |
Kresten Lindorff-Larsen |
Matt Johnson |
Matt Kusner |
Max Welling |
Michael Keiser |
Meromit Singer |
Nikolai Slavov |
Nir Hacohen |
Pam Silver |
Possu Huang |
Quaid Morris |
Rediet Abebe |
Samantha Morris |
Sara Mostafavi |
Scott Linderman |
Smita Krishnaswamy |
Soumya Raychaudhuri |
Suchi Saria |
Wouter Boomsma |
Yixin Wang |
Itsik Pe’er |
Chris Sander |
Tsuyoshi Okita | And more to be announced.