CoS Data Science Seminar


Fall 2021

Time: Fridays, 4-5pm

Location: ES&T L1205 and online via MS Teams

Seminar schedule:

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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


Organizers: Annalisa Bracco, Roman Grigoriev, Michael Hunter, Patrick McGrath, Michael Schatz, David Sherrill, Molei Tao