In this webinar, our panellist will speak about their experience with applying and developing AI. We look forward to exploring our speakers best practise tips and how to successfully work across disciplines.
Watch the recording!
Speakers
Jacob Al-Saleem, Data Science Manager, CAS, USA
Dr. Jacob Al-Saleem, a Data Science Manager at CAS, a division of the American Chemical Society, leads a team working to develop novel bioinformatic solutions using artificial intelligence to extract and connect scientific knowledge. He led the data science efforts for a team that developed a heterogeneous knowledge graph-based approach to identify repositionable therapeutics for COVID-19. His knowledge graph work is the foundation for the Life Sciences Knowledge Graph that is featured in CAS BioFinder. Dr. Al-Saleem earned his B.S. in Molecular Genetics and Ph.D. in Molecular Cellular and Developmental Biology from The Ohio State University, where his work focused on the molecular virology of Human T cell Leukemia Viruses.
Talk title: The importance of data quality in scientific AI SLIDES
Birgit (Bea) Braun, Research Fellow, Dow Chemical Company, USA
Birgit (Bea) Braun, Ph.D., is an R&D/TS&D Fellow for Digital Innovation in the Packaging, Specialty Plastics & Hydrocarbons R&D organization at Dow. She has held diverse roles across R&D and M&E, and for more than a decade, Bea has focused on applying Artificial Intelligence and Machine Learning to chemical manufacturing and materials research. She has led the development and deployment of numerous data science solutions across Dow, and today her work centers on unlocking value through holistic digital transformation. Bea earned a Dipl.-Ing. in Process Engineering with a specialization in Industrial Environmental Protection from Montanuniversität Leoben in Austria, she holds an M.S. in Environmental Science & Engineering and a Ph.D. in Chemical Engineering from the Colorado School of Mines.
Talk title: AI in Chemistry – An Industry Perspective SLIDES
Garrison (Gary) Cottrell, Professor for Computer Science and Engineering, University of California San Diego, USA
Garrison W. (Gary) Cottrell is a Professor of Computer Science and Engineering at UC San Diego. He co-founded the Perceptual Expertise Network, and directed the Temporal Dynamics of Learning Center, an NSF-sponsored Science of Learning Center spread across four countries. Gary’s research is strongly interdisciplinary. He is interested in Cognitive Science and Computational Cognitive Neuroscience and in applying AI to problems in other areas of science or engineering. Most recently he has been using deep learning to elucidate the structure of small (natural product) molecules from their NMR spectra in collaboration with Bill Gerwick at the Scripps Institute of Oceanography. He received his PhD in 1985 from the University of Rochester and did a postdoc at the Institute of Cognitive Science at UCSD until 1987, when he joined the CSE Department.
Talk title: SPECTRE: A Spectral Transformer for Molecule Identification SLIDES
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Explore more than 128 million structures on the ChemSpider database. Including over 200 data sources, ChemSpider is a valuable source of information for chemical scientists working with data.
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