CoS Data Science Seminar
Time: Fridays, 4-5pm

Location: ES&T L1205 and online via MS Teams

Seminar schedule: Fall 2022     [Fall 2021]
Date Presenter Department Title
8/26/2022 Molei Tao Mathematics When dynamics meet machine learning
9/2/2022 Matthew Golden Physics Modeling active nematics using physically informed machine learning
9/9/2022 Peter Washam Earth & Atmospheric Science Three dimensional ocean velocities under ice shelves from the mobile underwater vehicle Icefin: data collection, post-processing, and final scientific output
9/16/2022 Vincent Verjans Earth & Atmospheric Science Oceanic conditions at Greenland outlet glaciers constrained by statistical modeling
9/23/2022 Derek Metcalf Chemistry Physics-informed machine learning for drug-protein interactions
9/30/2022 King Jordan Biological Sciences Genetic ancestry inference at biobank scale
10/7/2022 Surabhi Sachdev Physics Making gravitational-wave transient catalogs
10/14/2022 Matthew Torres Biological Sciences From SAPH-ires to PEARLs: Mining Gems from Proteomics Data to Uncover Functionality in the Eukaryotic Phosphoproteome
10/21/2022 Ljuba Novi Earth & Atmospheric Science Evaluating coral reefs ecoregions connectivity and biodiversity through machine learning and network science
10/28/2022 Elizabeth Cherry Computational Science and Engineering Machine-learning approaches for predicting cardiac voltage dynamics
11/4/2022 Yingjie Liu Mathematics Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws and Other Differential Equations with Greatly Reduced Complexity
11/11/2022 Haomin Zhu Mathematics A weak adversarial network method for high-dimensional PDEs
11/18/2022 Olatomiwa Bifarin Chemistry Statistical and machine learning applications in metabolic phenotyping

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