The Practical Application of Artificial Intelligence in Drug Discovery & Development
A Scientific Conference & Networking Reception, Hosted by Amgen
ADD TO CALENDAR 12/12/2018 08:45 12/12/2018 18:00 America/New_York The Practical Application of Artificial Intelligence in Drug Discovery & Development The Practical Application of Artificial Intelligence in Drug Discovery & Development - A Scientific Conference & Networking Reception, Hosted by Amgen Amgen Massachusetts MM/DD/YYYY
Aine Hanly/Patrick Dey, Amgen
Keynote Address: Bringing Machine Learning Models into Pharma; Lessons Learned
Regina Barzilay, MIT
The Use of Matched Molecular Series (MMS) SAR Networks for QSAR Prediction and Design
Christopher Keefer, Pfizer
Learning to Plan and Validate Chemical Syntheses from Historical Reaction Data
Connor Coley, MIT
Accelerating Drug Discovery Through the Power of Microscopy Images
Anne Carpenter, Broad Institute
Artificial Intelligence for Pathology: From Discovery to AI-Powered Companion Diagnostics
Andrew Beck, PathAI
From SVM to Multitask DNN: Predicting Compound Activities for Virtual Screening and Target Identification
Thibault Varin, Eli Lilly
AI Empowered Drug Discovery: From Virtual Screen to Drug ADME Property Prediction
Jie Fan, Accutar Biotech
The nference Platform for Data Sciences
Venky Soundararajan, nference
Patrick Dey, Amgen
Networking Reception until 6:00 p.m.
About the Speakers
Regina Barzilay is a Delta Electronics professor in the Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology.
Andy earned his MD from Brown Medical School and completed residency and fellowship training in Anatomic Pathology and Molecular Genetic Pathology from Stanford University.
Dr. Carpenter is an Institute Scientist at the Broad Institute of Harvard and MIT. Her research group develops algorithms and strategies for large-scale experiments involving images. The team’s open-source CellProfiler software is used by thousands of biologists worldwide (www.cellprofiler.org).
Connor W. Coley received his B.S. in Chemical Engineering from Caltech and M.S. in Chemical Engineering Practice from MIT. He is the recipient of MIT’s Robert T. Haslam Presidential Graduate Fellowship and is currently a final-year Ph.D.
Patrick Dey is the Vice President of Digital Health and Innovation at Amgen, the world’s largest Biotechnology company located in Thousand Oaks, CA. He is responsible for shaping and advancing Amgen’s Global Digital Health and Data strategy and delivering cross-functional “beyond the molecule” initiatives that extend Digital Health capabilities to maximize the patient experience with Amgen’s therapies.
Dr. Fan was trained at UC, Berkeley in Biostatistics and obtained his Doctor degree from Cornell/Sloan-Kettering in Structural Biology/Immunology. He was further trained by Dr. Günter Blobel at Rockefeller University.
Christopher Keefer leads the computational ADMET group at Pfizer where he has been for 10 years. Prior to that, he was the head of the Cheminformatics Group at GlaxoSmithKline in RTP, NC. Chris holds a Ph.D. in Inorganic Chemistry and a Certificate in Computer Science from North Carolina State University and received his B.S. in Chemistry from the University of Florida.
Venky Soundararajan is the Founder & Chief Scientific Officer of nference where he leads the development and translation of the nferX Artificial Intelligence (AI) technology platform. He is also the founding CSO of the biotechnology company Qrativ, which was established as a Joint Venture between the Mayo Clinic and nference.
Thibault Varin is a Senior Research Scientist at Eli Lilly and Company in Indianapolis, supporting projects from hit identification to lead optimization. Prior to joining Lilly, Thibault completed post-doctoral studies at the Novartis Institute for Biomedical Research in Basel, working on analysis of primary screening data under the supervision of Dr. Schuffenhauer.