About the Conference

For the past 17 years, Bio-IT World Conference & Expo has established itself as a premier event showcasing the myriad IT and informatics applications and enabling technologies that drive biomedical research, drug discovery & development, and clinical and healthcare initiatives. Since 2002, Bio-IT World Conference & Expo has taken place annually in Boston on the East Coast, and now Bio-IT World Expo will also take place on the West Coast! Bio-IT World Conference & Expo WEST is a part of the Molecular Medicine Tri-Conference. Bio-IT World West includes 4 parallel conference programs, 1 symposium, 1 training seminar, and in-depth short courses.

Join us for compelling talks, including best practice case studies and joint partner presentations, from your fellow industry and academic colleagues discussing themes of big data, smart data, cloud computing, trends in IT infrastructure & data management, omics technologies, high-performance computing, informatics, machine learning, data analytics, open source and precision medicine, from the research realm to the clinical arena.

Featured Presentations

Making STRIDES to Accelerate Discovery: The National Institutes of Health, Data Science, and the Cloud
Andrea T. Norris, Director, NIH’s Center for Information Technology, CIO, NIH, Department of Health and Human Services, National Institutes of Health (NIH)
Machine Learning and Statistical Approaches for Reverse Translation
Sandor Szalma, PhD, Global Head, Computational Biology, Takeda Pharmaceuticals
Diagnosing Rare Disease Patients: Progress in Fully Automated Diagnosis
Tom Defay, Senior Director, R&D Strategy and Alliances, SPMD, Strategy, Program Management and Data Sciences, Alexion
Projects Colossus and Enigma: The Use of AI Methods in Early Drug Discovery and Late Drug Development
Kim Branson, PhD, Head of A.I (ECDi), Genentech
Machine Learning for Data Driven Decision Making of Clinical Trials
Kevin Hua, PhD, Senior Manager, AI Machine Learning Development, Digital Health Intelligence Group, Bayer
Informatics Approaches to Reducing the Sanger Burden in Clinical NGS Laboratories
Matthew Lebo, PhD, FACMG, Director, Bioinformatics, Partners Personalized Medicine; Instructor, Pathology, Brigham and Women’s and Harvard Medical School
From Pixels to Phenotypes: Analysis of Cellular Images With Multi-Scale Convolutional Neural Networks
William J. Godinez, PhD, Research Investigator, Novartis Institutes for BioMedical Research (NIBR)
Predicting Successful Therapeutic Targets Using Deep Learning, Matrix Factorization, and Network Propagation
Pankaj Agarwal, PhD, FRSB, Senior Fellow & Senior Director, Computational Biology, RD Target Sciences, GSK
Translating Ten Trillion Points of Data into Diagnostics, Therapies and New Insights in Health and Disease
Atul Butte, MD, PhD, Priscilla Chan and Mark Zuckerberg Distinguished Professor, Director, Bakar Computational Health Sciences Institute, University of California, San Francisco, Chief Data Scientist, University of California Health (UC Health)