Applied & Computational Mathematics Seminar
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Current Seminar

The Applied & Computational Mathematics seminar (ACMS) at Dartmouth brings together researchers with common interests in developing mathematical and computational tools to study real-world complex phenomena. The seminar includes talks broadly on various areas of mathematics such as complex systems, computational science, data science, dynamical systems, evolutionary dynamics, game theory, machine learning, mathematical biology, network science, numerical analysis, optimization, probability theory & stochastic processes, quantum computing, statistics, statistical mechanics, uncertainty quantification, etc.; hence these talks will keep the breadth of the audience in mind.

Date Speaker Title
3/26/26 Katie Lynch (University of Utah) Structure and consequences of heme acquisition pathways in Vibrio vulnificus
4/7/26 Jakub Svoboda (Dartmouth) Effects of Fitness Gradient
4/13/26 Chris Vales (Dartmouth) Data based statistical closure of partial differential equations
5/5/26 Di Qi (Purdue University) TBD
5/12/26 Shihao Yang (Georgia Tech) TBD
5/19/26 Nourridine Siewe (Rochester Institute of Technology) TBD

This seminar is organized by Linh Huynh (linh.n.huynh@dartmouth.edu), Lizuo Liu (lizuo.liu@dartmouth.edu), and Jonathan Lindbloom (jonathan.t.lindbloom.gr@dartmouth.edu).