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ME Seminar: Spencer Bryngelson (California Institute of Technology)
ME Seminar: Spencer Bryngelson (California Institute of Technology)
WhenTuesday, Nov 19, 2019, 3:30 – 4:30 p.m.
Campus locationMechanical Engineering Building (MEB)
Campus room238
Event typesAcademics, Lectures/Seminars
Target AudienceEngineering students, faculty and alumni

Modern computational methods for modern biomedicine: from the microcirculation to humpback whales
Spencer Bryngelson, Ph.D.
Senior Postdoctoral Scholar
California Institute of Technology

ABSTRACT: Disease with no cure are the leading cause of death the world over. New biomedical devices and therapies can lead the fight against this problem. However, their development requires improved computational methods: even as we approach exascale computing capabilities, faithful simulation of many biomechanical phenomena remains out of reach. Recent developments in machine learning and data-assimilation techniques are poised to change this paradigm. I will present new datadriven models for cardiovascular flows and therapeutic bubble cavitation as evidence of this. High-fidelity spectral boundary integral and diffuse-interface solvers complement these models, leading to state-ofthe- art predictions. MFC, our new open-source software, will showcase these capabilities. Non-modal stability, optimization, and dynamical systems analyses of the large-scale simulations are applied to biomicrofluidic device design, targeted drug delivery mechanisms, and therapeutic ultrasound administration. I will also draw inspiration for new treatment from an unlikely source: hunting humpback whales. A framework for the design of new therapies is proposed.

SPEAKER BIO: Dr. Spencer Bryngelson is a Senior Postdoctoral Scholar at the California Institute of Technology, where he works with Professor Tim Colonius. Previously, he was a Postdoctoral Researcher at XPACC, a PSAAP II center. He received his Ph.D. and M.S. in Theoretical and Applied Mechanics from the University of Illinois at Urbana– Champaign in 2017 and 2015, respectively, working with Professor Jonathan Freund. He received B.S. degrees in both Mechanical Engineering and Engineering Mathematics from the University of Michigan–Dearborn in 2013. His research focuses on the fluid and solid mechanical phenomena that enable modern biomedical treatments and devices. In pursuit of this he develops high-performance software, physical models, and numerical and data-driven methods.

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