Applied BioMath (www.appliedbiomath.com), the industry-leader in applying systems pharmacology and mechanistic modeling, simulation, and analysis to de-risk therapy research and development, today announced they will host a virtual Quantitative Systems Pharmacology (QSP) Summit Tuesday, April 6th - Thursday, April 8th occurring 11 a.m. - 1 p.m. ET each day.
The QSP Summit is an annual meeting dedicated to fostering an active community of industry and academic participants interested in utilizing computational biology approaches including QSP modeling. Registrants are encouraged to submit a poster abstract for the virtual poster session. Undergraduate and graduate students as well as postdocs are eligible to receive poster prizes with first place receiving $150, second place receiving $100, and third place receiving $50. Six poster abstracts will be selected for lightning presentations during the event. This year's speakers include:
- Hsueh Yuan Chang, PhD, Graduate Student at University at Buffalo
- Sergio Iadevaia, PhD, Scientific Director, QSP, Pharmacometrics and Data Analysis at Takeda
- Samuel Isaacson, PhD, Associate Professor at Boston University
- Zhe Li, PhD, Senior Clinical Pharmacokineticist at Abbvie
- Mike Rosenblatt, MD, Chief Medical Officer at Flagship Pioneering
- Aman Singh, PhD, Associate Director of Clinical Pharmacology M&S, Cell Therapies at Takeda
"We look forward to hosting the QSP Summit and showcasing speakers from industry and academia to discuss their projects and research involving mathematical modeling," said John Burke, PhD, Co-founder, President and CEO of Applied BioMath. "It's important to continue these meetings even in a virtual setting because modeling approaches in drug discovery and development are increasingly being adopted and we, as a community, need to learn and share challenges with each other to stay at the forefront of this adoption. Moreover, we think it's important to provide a community for students and postdocs to network."
Learn more and register for the QSP Summit.
About Applied BioMath
Founded in 2013, Applied BioMath's mission is to revolutionize drug invention. Applied BioMath uses mathematical modeling and simulation to provide quantitative and predictive guidance to biotechnology and pharmaceutical companies to help accelerate and de-risk drug research and development. Their approach employs proprietary algorithms and software to support groups worldwide in decision-making from early research through clinical trials. The Applied BioMath team leverages their decades of expertise in biology, mathematical modeling and analysis, high-performance computing, and industry experience to help groups better understand their candidate, its best-in-class parameters, competitive advantages, patients, and the best path forward into and in the clinic. For more information about Applied BioMath and its services, visit www.appliedbiomath.com.
Applied BioMath and the Applied BioMath logo are registered trademarks of Applied BioMath, LLC.