| 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 |