Post Doc Talks

Lightning Talks

  • Intro
  • Mixed-integer linear program (MILP)-based metabolic engineering, Phillipp Schneider 
  • A unified computational framework for single-cell data integration with optimal, Kai Cao 
  • Canonpipe: Data debugging with Shapley importance over machine learning pipelines, with applications in digital pathology, Bojan Karlas
  • Removing biases from molecular representations via information maximization, Chenyu Wan
  • Connecting spatial organization of tissues to cell state and function using self-supervised machine learning, Sandeep Kambhampati

For more information visit:  https://www.broad.io/MIA