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Moderator:
Steve Whittaker
Program Director, MIT Industrial Liaison Program

Panelists:
Ben Armstrong
Executive Director, MIT Industrial Performance Center

J. Christopher Love
Raymond A. (1921) and Helen E. St. Laurent Professor, MIT Department of Chemical Engineering,
Member, Koch Institute for Integrative Cancer Research at MIT,
Associate Member, Broad Institute of MIT and Harvard,
Associate Member, Ragon Institute of MGH, MIT, and Harvard

Faez Ahmed
ABS Career Development Assistant Professor, MIT Department of Mechanical Engineering

Bruce Lawler
Managing Director, MIT Machine Intelligence for Manufacturing and Operations

Prof. Kulik will describe their efforts to accelerate the discovery of novel transition metal containing materials using machine learning. She will discuss how they have leveraged experimental data sets through both text mining and semantic embedding to uncover relationships between structure and function in molecular catalysts and metal-organic frameworks. Then she will describe how they have leveraged large datasets of synthesized materials to uncover those with novel function in polymer networks. She will describe how they demonstrate the success of their design strategy through macroscopically visible changes in network scale properties.