Seminar Speaker: Martin Seifrid, University of Toronto

“Evolving Materials Design Toward the Lab of the Future”

Abstract

To address pressing challenges in energy and healthcare, we must accelerate the pace of scientific discovery through digital technology, data-driven science, and automation. In this talk, I will discuss how I combined experimental and computational tools to design organic semiconducting materials in my graduate research. My desire to drive the field forward then led me to build a self-driving laboratory during my postdoctoral research. I will provide an overview of how a self-driving lab works from both digital and experimental perspectives, with examples from the lab’s achievements in designing organic semiconductor laser materials.

Speaker Biography

Dr. Martin Seifrid is a postdoctoral fellow in Prof. Alán Aspuru-Guzik’s group at the University of Toronto. His research focuses on the development of self-driving labs for organic materials design and discovery, and the application of machine learning to materials for energy applications. Prior to arriving in Toronto, Martin completed his PhD in Prof. Guillermo Bazan’s group at the University of California, Santa Barbara, where he studied structure-property relationships in organic semiconductors.