Driving discovery in biological complexity with dynamical systems | Niall Mangan скачать в хорошем качестве

Driving discovery in biological complexity with dynamical systems | Niall Mangan

Discover innovative mathematical biology research from Niall Mangan driving developments in artificial intelligence (AI), green biofuels, cancer treatments and more Credits: Dynamical systems and delay embedding diagrams and animations by Dr. Cody FitzGerald (James S. McDonnell Foundation Postdoctoral Fellow at Northwestern University) and Andrew Engedal (PhD candidate, Princeton University) Niall Mangan is an assistant Professor of Engineering Sciences and Applied Mathematics at Northwestern University. She is also a Scientific Leader at the NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB). Professor Mangan's primary research goal is to connect the speed and automation of top-down data-driven model selection methods with the explanatory power of bottom-up mechanistic modeling. Mechanistic modeling provides a powerful framework for systems design and optimization but relies on the sometimes slow integration of model development and experimental validation. Data science methods promise rapid, automated, descriptions and predictions for complex systems, generally without knowledge of underlying mechanisms. Statistics and information theory allow us to evaluate how well our models describe a system, given the data. By combining methods, Mangan will rapidly develop explanatory mechanistic models and use them to optimize system performance and design engineering solutions. At NITMB, in addition to being a Scientific Leader for the Institute, Niall Mangan is a principal investigator on the NITMB-supported research project, 'Inferring Models for Microbial Dynamics.' About NITMB: The NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB) aims to integrate the disciplines of mathematics and biology in order to transform the practice of biological research and to inspire new mathematical discoveries. NITMB is a partnership between Northwestern University and the University of Chicago. It is funded by the National Science Foundation DMS-2235451 and the Simons Foundations MP-TMPS-00005320. The mission of the NITMB is to create a nationwide collaborative research community that will generate new mathematical results and uncover the “rules of life” through theories, data-informed mathematical models, and computational and statistical tools. The NITMB leverages close collaborations between experimentalists and theorists to synergize discovery. The fundamental research done by NITMB will stimulate advances in areas as diverse as the environment, medicine, and technology development. NITMB members and visitors share space in downtown Chicago that is readily accessible to collaborators across the U.S. and the world. NITMB uses an interlocking set of strategies and initiatives aimed at broad impacts for the mathematical and biological research communities. Targeted research bringing together mathematicians and biologists to collaborate and train the next generation of interdisciplinary scientists. Scientific long programs, workshops, and conferences enhancing collaboration between mathematics and biology. An innovative research program organized around five interrelated themes, selected because they reflect key capabilities of biological systems and interconnect with open mathematical problems. #dynamicalsystems #Mathematics #Mathematician #AI #AIResearch #MathematicsResearch #ML #machinelearning #artificialintelligence #northwestern #uchicago ‪@NorthwesternU‬ ‪@SimonsFoundation‬