Quantitative Systems Pharmacology (QSP) is a mathematical modeling and engineering approach to translational medicine that aims to quantitatively integrate knowledge about therapeutics with an understanding of its mechanism of action in the context of human disease mechanisms. QSP approaches de-risk projects, accelerate the development of best in class therapeutics, and reduce late stage attrition rates. This results in helping industry save money, accelerate timelines, and make better therapeutics, ultimately improving patients’ lives.
The QSP Industry & Academia Symposium is a seminar series for presenting, learning and discussing topics relevant to QSP. The goal of the event is to foster an active community of industry and academia participants interested in this topic and create a forum for sharing successes and challenges.
Please remember to bring a government-issued photo ID for check in.
Madhu Natarajan, PhD, Shire Pharmaceuticals Presentation:"Why you must 'model for modeling's sake' and other career advice for the modeling scientist" and
Jishnu Das, PhD, MIT Presentation: "Studying the immune system using computational systems biology approaches"
5:00 - 5:30 pm | Networking, light fare and open bar
5:30 - 5:45 pm | Opening remarks by John Burke, PhD, Co-Founder, President and CEO of Applied BioMath
5:45 - 6:30 pm | Presentation: "Why you must 'model for modeling's sake' and other career advice for the modeling scientist" by Madhu Natarajan, PhD, Shire Pharmaceuticals
6:30 - 7:00 pm | Presentation: "Studying the immune system using computational systems biology approaches" by Jishnu Das, PhD, MIT
7:00 - 7:30 pm | Networking, light fare and open bar