CONCORD, Mass., Jan. 24, 2019 /PRNewswire/ -- Applied BioMath (www.appliedbiomath.com), the industry-leader in applying mechanistic modeling, simulation, and analysis to accelerate and de-risk drug research and development, today announced their Quantitative Systems Pharmacology (QSP) Summit will occur April 25-26, 2019 at Le Meridien Boston Cambridge in Cambridge, MA.
In its third year, the QSP Summit is a free, one-and-a-half-day conference featuring talks from key industry and academic researchers, a poster session with awards, and networking time with peers. This year's speakers include:
"We're excited to announce our speaker line up and extend the QSP Summit beyond one day for the first time this year!" said John Burke, PhD, Co-Founder, President and CEO, Applied BioMath. "We look forward to fostering the QSP community and discussing the impact of mathematical modeling in biotechnology and pharmaceutical R&D."
Poster abstract submission is open to all undergraduate, graduate, postdoctoral, industry, faculty and staff in any computational biology field (e.g., QSP, systems biology, PKPD, bioinformatics, AI applied to drug R&D, molecular dynamics). Abstracts are due by Friday, March 1, 2019, and three abstract authors will be invited to give a 15-minute presentation during the conference. In addition, cash prizes will be awarded to the top three student (students, graduate students, and postdocs) posters, with first place receiving $500, second place receiving $350, and third place receiving $200.
For more information about the QSP Summit, visit https://www.appliedbiomath.com/qsp-summit-2019.
For more information about Applied BioMath's upcoming events, visit www.appliedbiomath.com/news-resources/events.
About Applied BioMath
Founded in 2013, 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 Model-Aided Drug Invention (MADI) 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.
Press contact:
Kristen Zannella
kristen.zannella@appliedbiomath.com
SOURCE Applied BioMath, LLC