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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