Topic: Building Trust in Materials AI Predictions
Speaker: Dr. Jason Hattrick-Simpers from National Institute of Standard and Technology in the USA
It is our immense pleasure and delight to host Dr. Jason Hattrick-Simpers from NIST this week to present on—I quote, "We want to build Machine Learning models from some combination of our data and literature data, I will talk about how we can evaluate their explainability and uncertainties in the face of labeling uncertainties." Jae has pioneered the application of machine learning and high-throughput experiments in the past few years and we’re glad he’s able to join us this week!
Biography
Jason Hattrick-Simpers is a Materials Research Engineer at the National Institute of Standard and Technology in the USA. He works at the confluence of high-throughput experimental methodologies, experimental automation, and machine learning.
Very much looking forward to the seminar – hope to see you all on Wednesday: (SGT) 9am, Wed, 17 Mar! https://mit.zoom.us/j/96231985116
Warmest regards, @Siyu Tian (Isaac) @kedar @Tonio
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