Lecture by Prof. Heather J. Kulik on ML-accelerated computational materials discovery

We have the pleasure of welcoming Prof. Heather J. Kulik for an open-to-all lecture on Addressing challenges of data scarcity and quality in ML-accelerated computational materials discovery, co-organized with the Laboratory of Inorganic Chemistry (LAC) at ETH Zurich.

Prof. Heather J. Kulik is an Associate Professor in Chemical Engineering at MIT. Her research group focuses on computational chemistry, chemical engineering, and materials science for a wide range of applications from fundamental biochemistry to data-driven discovery of new molecules and materials.