ChEM seminar: Data science and machine learning for research and development at BASF
This event is in the past.
Dr. Keith Task
The applications of data science in the industrial world are almost endless, and this is no exception in the chemical industry. In this talk, I will provide an overview of BASF, and how digitalization, and in particular data science, is contributing to BASF’s overall goals. Specifically, I will focus on the challenges of data science in the industry, and how BASF is applying state-of-the-art tools to overcome these challenges to accelerate research and development. We will discuss some success stories in the areas of machine learning and experimental design, particularly in the areas of formulation modeling and reverse engineering of formulations. I will conclude with BASF’s vision for data science: systems integration and Artificial Intelligence Systems.
Keith Task is a senior research scientist at BASF Corporation, and is based in Beachwood, OH. Keith obtained his B.S. Chemical Engineering from the University of Pittsburgh, after which he completed a two-and-a-half-year stint with the Peace Corps in Uganda, doing health and development work. Keith returned to the University of Pittsburgh to obtain his PhD in Chemical Engineering, with his research focusing on the mathematical modeling of embryonic stem cell behavior. Keith has been at BASF since 2015, and supports business and research units across the company through statistics, data analytics, and mathematical modeling. Keith’s primary interests include machine learning, experimental design, and linking data driven and mechanistic modeling.
Online: Zoom link
Join via: ID: 916 8628 9087(Passcode: 910013)