CoS Data Science Seminar

Fall 2021

Date	Presenter	Department	Title
8/27/2021	David Sherrill	Chemistry	Machine learning for intermolecular interactions
9/3/2021	Cheng Mao	Mathematics	Statistical network modeling
9/10/2021	John Wise	Physics	Machine learning in galaxy evolution modeling
9/17/2021	Michael Hunter	Psychology	Ensemble and Kalman prediction of substance use from a double-well potential model
9/24/2021	Wenjing Liao	Mathematics	Low-dimensional structures of data in machine learning
10/1/2021	Annalisa Bracco	Earth & Atmospheric Science	Exploring the manifold of the tropical Pacific in observations and models
10/8/2021	Jeffrey Skolnick	Biological Sciences	AI-based inference of human disease causes & interrelationships with applications to precision medicine and drug discovery
10/15/2021	Sung Ha Kang	Mathematics	Identification of differential equation from noisy observation
10/22/2021	Akhil Chavan	Earth & Atmospheric Science	Modeling and optimization for sea level sensors network
10/29/2021	Facundo Fernandez	Chemistry	An introduction to high resolution metabolomics for biomarker discovery
11/5/2021	Ignacio Taboada	Physics	Machine learning and neutrino astrophysics
11/12/2021	Sam Brown	Biological Sciences	Integrating clinical and experimental data to understand infection dynamics
11/19/2021	Zhigang Peng	Earth & Atmospheric Science	Machine-learning application in earthquake detection