Daniel Schweigert is a senior scientific data engineer in the Energy & Materials division at Toyota Research Institute (TRI). He works on the high throughput polymer (HTP) design project which aims to accelerate the development of novel solid polymer electrolytes for safer and higher performing electric vehicle battery systems. He is currently also streamlining the integration of closed-loop decision-making systems using Bayesian optimization for the accelerated discovery of materials that enable carbon-neutral mobility.
Daniel obtained his M.S. in physics from Freie Universität Berlin. He has 10+ years of industry experience in materials research as well as data science & engineering. In the past, he has worked in the photovoltaics (PV) and thin film glass coating industry where he improved manufacturing and research processes through the introduction of large-scale material data analysis architectures.