Mehrad Ansari

As a staff scientist at the Acceleration Consortium, Mehrad's research is focused on applied AI and automation in self-driving chemistry labs, representation learning and Bayesian optimization in biomaterials and clean energy systems. He received his PhD in chemical engineering at the University of Rochester, NY. He was the recipient of several prestigious awards including Kwang-Yu and Lee-Chien Wang, Earl W. Costich, Acceleration Consortium post-doctoral fellowship and Mike Alizadeh scholarship. His previous experience includes working as an Energy & Materials Research Engineer at the Toyota Research Institute, Research Assistant at the University of Rochester and Missouri University of Science & Technology. He is also the 2022 winner of the Battery Informatics & ML Competition from the Materials Research Society.