Skip to the content.


The workshop will be streamed by NeurIPS at these links: Session 1, Session 2, Session 3, Session 4.


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.