.Speaker Group: AI Drug Discovery 2023

Scott Lyon

Scott Lyon

Scott holds a PhD in Organic Chemistry from the University of Arizona and BS in Chemistry from Carnegie Mellon University. For over 25 years, Scott has been consulting with research teams to help them solve complex small molecule drug design challenges using software solutions designed for medicinal chemists, computational chemists and ADME scientists. He believes… Read more »

Tamsin Mansley

Tamsin Mansley Optibrium

Tamsin holds a PhD in Organic Chemistry from University of East Anglia in the UK and pursued Postdoctoral studies in the labs of Prof. Philip Magnus at University of Texas, Austin. She is an experienced drug discovery scientist, having worked as a medicinal chemist at Eli Lilly and UCB Research. Her interests lie in coupling… Read more »

Maria Florez

Maria I Florez

Maria Florez is a research consultant affiliated with the Tufts Center for the Study of Drug Development. Her work looks at the impact of digital transformation in clinical research; practices, strategies and incentives driving improvements in the pharmaceutical R&D process; and the economics of new drug development. She has held strategy positions at Cleveland Clinic and New York-Presbyterian Hospital of Columbia… Read more »

Marcin Von Grotthuss

Marcin von Grotthuss Takeda

Associate Director in Machine Learning with 20 years of experience executing multidisciplinary translational projects, including 8 years contribution to pioneering research on the analysis of clinical, molecular, and genomic data for drug development and safety evaluation for rare and common diseases, and precision medicine applications, initially, at The Broad Institute of MIT and Harvard and,… Read more »

Vasanth Thirugnanam

Vasanth built and ran successful data ingestion pipelines for automating thousands of article curations on the JnJ catalog. He architected and assembled a scalable data profiling solution for complicated external data sources to monitor and report quality metrics in an automated fashion. Vasanth joins us from Clarify Health Solution and Medtronic with extensive experience in… Read more »

Abhishek Pandey

Abhishek is group lead for Machine Learning team called RAIDERS: Pharma Discovery in Abbvie which is a pan- Abbvie team working in field of Machine Learning in chemistry and drug discovery, Machine Learning in imaging/multi-omics and Machine Learning in-charge of Abbvie-calico collaboration. He is a Principal Research Scientist in Machine Learning and Deep learning. In… Read more »

Peter Henstock

Peter Henstock is the Machine Learning & AI Lead at Pfizer and based in greater Boston. His work has focused at the intersection of AI, visualization, statistics and software engineering applied mostly to drug discovery but more recently to clinical trials. Peter holds a PhD in Artificial Intelligence from Purdue University along with 6 Master’s… Read more »

Yu Qiu

Yu Qiu is currently Digital Biologics Advance Application Lead (Senior Principal Scientist) at Sanofi. He earned his PhD in Biochemistry in 2012, where he mainly used NMR to study protein structures and dynamics. Then he moved to St. Jude Children’s Research Hospital as a postdoc where he studied a Ubiquitin-like protein conjugation cascade in autophagy… Read more »