Bio-IT World Conference & Expo Pre-Conference Workshops

Cambridge Healthtech Institute is pleased to offer morning and afternoon pre-conference workshops on Tuesday, October 6, 2020. The workshops are designed to be instructional, interactive and provide in-depth information on a specific topic. They allow for one-on-one interaction and provide a great way to explain more technical aspects that would otherwise not be covered during the main conference tracks that take place Wednesday-Thursday.

TUESDAY, OCTOBER 6 | 8:30 - 11:30 AM

W1. Data Management for Biologics: Registration and Beyond - Detailed Agenda

Benjamin Li, Global Head of ITRDM Biological Sample Production & Management, Information Technology, Boehringer Ingelheim

Yuan Lin, Senior Manager, Pfizer Digital, Pfizer

Sebastian Schlicker, Director, Biologics Business, Genedata, Basel, Switzerland

Monica Wang, PhD, Principal Technology Lead, Scientific Informatics, Takeda

W2. A Crash Course in AI: 0-60 in Three - Detailed Agenda

Gustavo Arango, PhD, Senior Data Scientist - Oncology Bioinformatics, AstraZeneca

Bino John, PhD, Associate Director, Data Science - Clinical Pharmacology & Safety Sciences, AstraZeneca R&D

John Van Hemert, PhD, Research Scientist, Bioinformatics, Corteva Agri Science, A Dow-Dupont Division

W3. Introduction to Data Visualization for Biomedical Applications - Detailed Agenda

Nils Gehlenborg, PhD, Assistant Professor, Department of Biomedical Informatics, Harvard Medical School

W4. Beyond Process and Technology – The Human Side of Collaboration - Detailed Agenda

Celeste Blackman, Co-Founder, Green Zone Culture Group

Ian Fore, PhD, Senior Biomedical Informatics Program Manager, Center for Biomedical Informatics and Information Technology, National Cancer Institute

Melissa Nisonger, Analyst, NetImpact Strategies, Inc.

W5. Giving the Personalized Digital Health Ecosystem a FAIRshake - Detailed Agenda

Avi Ma’ayan, PhD, Professor, Department of Pharmacological Sciences; Director, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai

Daniel Clarke, Data Scientist, Ma'ayan Lab, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai

TUESDAY, October 6 | 12:30 - 3:30 PM

W9. Digital Biomarkers and Wearables in Pharma R&D and Clinical Trials - Detailed Agenda

Dani Bradnan, MS, Research Associate, Digital Health and Wellness, Lux Research

Ariel Dowling, PhD, Director, Digital Strategy Lead, Data Sciences Institute, Takeda Pharmaceuticals

Graham Jones, PhD, Director, Innovation, Technical Research and Development, Novartis 

Larsson Omberg, Vice President, Systems Biology, Sage Bionetworks

W10. Data Science Driving Better Informed Decisions - Detailed Agenda

Meghan Raman, Head, R&D Data Lake and Analytics, Bristol-Myers Squibb

Farhan (CJ) Hameed, MD, MS, VP, Global Real World Data – Strategy, Analytics & Insights (GRWD-SAI), Analytics, Informatics & Business IntelIigence (AIBI), Pfizer Digital

Nigel Greene, PhD, Director, Head, Data Science and Artificial Intelligence, Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, AstraZeneca

W11. AI-Celerating R&D: Foundational Approaches to How Emerging Technologies Can Generate Value - Detailed Agenda

Brian Martin, Head of AI in R&D Information Research, Senior Principal Data Scientist, AbbVie

W12. Cancer Genome Analysis - Detailed Agenda

Jeffrey Rosenfeld, PhD, Manager, Biomedical Informatics Shared Resource and Assistant Professor of Pathology and Laboratory Medicine, Rutgers Cancer Institute of New Jersey; President, Rosenfeld Consulting LLC

W13. Structuring Data for Drug Development and Regulatory Submissions: The Role of Standards and Ontology - Detailed Agenda

Lawrence Callahan, PhD, Chemist, Office of Health Informatics, Global Substance Registration System/Office of Health Informatics, Office of Chief Scientist, FDA

Hande Kucuk McGinty, PhD, Research Scientist, Collaborative Drug Discovery

Gregory Pappas, Associate Director, National Surveillance, Center for Biologics Evaluation and Research, U.S. Food and Drug Administration

Michael Waters, Team Lead, System Harmonization and Interoperability Enhancement for Laboratory Data (SHIELD), U.S. Food and Drug Administration

W14. Deep Learning for Image Analysis - Detailed Agenda

Peter Henstock, PhD, AI & Machine Learning Lead, Pfizer

Chao-Hui Huang, PhD, Senior Principal Scientist, Quantitative Image Analysis Computational Biology, Oncology Research Unit, Pfizer

W16. Dealing with Instrument Data at Scale: Challenges and Solutions - Detailed Agenda

Rachana Ananthakrishnan, Head, Products, Globus, University of Chicago

Brigitte Raumann, Product Manager, Globus, University of Chicago

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