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Pharma R&D Informatics Resources

Welcome to the Pharma R&D Informatics resources page: a curated list of presentation slide decks.

These resources were produced from our Pharma R&D Informatics and AI Congress series of events. The next related event is:

Global Pharma R&D Informatics and AI Congress

Presentation Videos

Using the abYsis database for drug discovery

Andrew Martin, Professor, Bioinformatics and Computational Biology, UCL

Lessons Learned From 20 Years of ML Model Management

Brandon Allgood, SVP of Data Science & AI, Valo Health

Advances in Data-Driven Forecasting & Monitoring Patient Recruitment and Trial Operational Design

Vladimir Anisimov, Principal Data Scientist, Amgen UK

Digital Health in the Age of Big Data

Lena Granovsky, Director, Analytics and Big Data, Digital Health, Teva Pharmaceuticals

The disruptive advantages of distributed ledger technology for Pharma R&D

Scott Kahn, CIO LunaPBC

Presentation Slides

The Challenges of Analytical Data Management in R&D

Hans DeBie, Senior Director Professional Services, ACD/Lab

Transforming Large Pharma Bioactivity data stores into Knowledge Systems

James Lumley, Senior Scientist, Informatics, Eli Lilly and Company

The Largest General Translational Informatics Public Private Partnership to Date

Jay Bergeron, Director, Translational Research Business Technologies, Pfizer

Measuring project success and Shannon’s maxim: the enemy knows the system

Jeremy Edmunds, Director of Immunology Chemistry, AbbVie

Network-driven drug discovery: A computational network biology approach to drug discovery

Jonny Wray, Head of Discovery Informatics, e-Therapeutics

Can data scientists lead the discovery of therapeutics in cancer?

Bin Chen, Assistant Professor, University of California San Francisco

Illuminating the Druggable Genome and the Quest for new Drug Targets

Tudor I. Oprea, Professor and Chief of Translational Informatics, University of New Mexico

Machine reading for cancer biology

Sophia Ananiadou, Director, National Centre for Text Mining and Professor of Computer Science, University of Manchester

AI empowers lead-discovery from biologically complex bioassays

Pierre Farmer PhD, Head of CBT-Data Science Technology, Novartis

Intelligent Lab Data Automation

Ralph Haffner, Pharma Research and Early Development Informatics, Roche Innovation Center, Basel

Digital Health in the Age of Big Data

Lena Granovsky, Director, Analytics & Big Data, Global R&D

Moving Trial and Error from Clinical Trials to a Simulated Model of Biology

Szabi Nagy, CEO and Co-Founder, Turbine

Big Data Moves to Big Analysis: Setting A Foundation for Enterprise AI

Eric Little, Chief Data Officer, OSTHUS Inc

How AI Ready Data is Helping to Deliver Predictive Analytics in Drug Discovery

Jabe Wilson, Consulting Director, Text and Data Analytics, Elsevier Life Science Solutions

Poster Presentation

Measurement of PROTAC kinetics and cooperativity