Applied BioMath (www.appliedbiomath.com), today announced the speaker lineup for the Quantitative Systems Pharmacology (QSP) Summit occurring September 15, 2022 at Le Meridien Boston Cambridge in Cambridge, MA.
| CONCORD, Mass., Aug. 31, 2022 /PRNewswire/ -- Applied BioMath (www.appliedbiomath.com), the industry-leader in providing model-informed drug discovery and development (MID3) support to help accelerate and de-risk therapeutic research and development (R&D), today announced the speaker lineup for the Quantitative Systems Pharmacology (QSP) Summit occurring September 15, 2022 at Le Meridien Boston Cambridge in Cambridge, MA.
In its fifth year, the QSP Summit is a free conference featuring talks from key industry and academic researchers, a poster session with awards, and networking time with peers. This year’s speakers include: Abed Alnaif, PhD, Principal Scientist - Translational Quantitative Pharmacology Alison Betts, PhD, Vice President of Scientific Collaborations and Fellow of Modeling & Simulation Panteleimon Mavroudis, PhD, Senior Principal Scientist - Lab Head, Quantitative Pharmacology Greg Moore, PhD, Director of Protein Engineering Hiroyuki Sayama, PhD, Research Fellow Brian Schmidt, PhD, Executive Director, Head QSP and PBPK Leah Terrian, PhD Graduate Student In addition to the conference presentations, there will also be an executive roundtable featuring panelists:
“We’re excited to see everyone in person at the QSP Summit this year,” said John Burke, PhD, Co-founder, President and CEO at Applied BioMath. “The QSP Summit is a great opportunity to bring industry and academia together to share successes and challenges in topics related to quantitative systems pharmacology, systems biology, or mechanistic/translational PK/PD.” To learn more and register for the QSP Summit, visit https://www.appliedbiomath.com/qsp-summit-2022. About Applied BioMath Founded in 2013, Applied BioMath’s mission is to revolutionize drug invention. Applied BioMath applies biosimulation, including quantitative systems pharmacology, PKPD, bioinformatics, machine learning, clinical pharmacology, and software solutions to provide quantitative and predictive guidance to biotechnology and pharmaceutical companies to help accelerate and de-risk therapeutic research and development. Their approach employs proprietary algorithms and software to support groups worldwide in decision-making from early research through all phases of 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 therapeutic, its best-in-class parameters, competitive advantages, patients, and the best path forward into and in the clinic to increase likelihood of clinical concept and proof of mechanism, and decrease late stage attrition rates. For more information about Applied BioMath and its services and software, visit www.appliedbiomath.com. Applied BioMath and the Applied BioMath logo are registered trademarks of Applied BioMath, LLC. Press contact:
SOURCE Applied BioMath, LLC |
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