Ticketing: This event is free and open to all. Registration is required. Seating will be on a first-come, first-served basis – Register here.
Venue: Chemical Engineering Lecture Theatre 1, ACE Extension, Imperial College London, South Kensington Campus, London SW7 2AZ (building no. 14 on the map of South Kensington Campus).
The Data Science Institute in collaboration with Imperial Business School are delighted to be hosting Dr. Matt Wiener from MSD/Merck who will speak at Imperial on Analytics and Modeling in the Pharmaceutical Industry.
Abstract: At MSD (Merck in the US and Canada), we are surrounded by data from our own experiments and clinical trials, data from our manufacturing processes, data on the effects of treatments in the real world, and data on how we are performing as a business.
This talk will describe how data analysts and mathematical modelers across MSD work to make sense of those data. Our work includes data management, traditional descriptive analytics and dashboarding to make information visible to the people who need it to make decisions; data mining and statistical modeling to find important patterns in data; and mathematical modeling to understand how disease develops, and how potential treatments might affect the course of disease. We strive to embed analytics and modeling into the way the company works, in order to speed the delivery of new treatments to patients who need them.
Dr Matthew Wiener has worked in applied mathematics, modeling, and analytics at MSD in the US for 13 years. He is now leading the creation of an analytics and modeling group at MSD’s Global Innovation Center in Prague.
MSD is known as Merck in the United States and Canada.