Category: Students

Mathematical Biology Seminar: Modeling gene regulatory network dynamics at single-cell resolution

Speaker: Adam MacLean, University of Southern California  https://g.co/kgs/5y6b2f Abstract: Since single-cell RNA sequencing technologies have become widespread, great efforts have been made to develop appropriate computational methods to learn biological features from high dimensional datasets. Much less effort has gone into the important yet challenging task of inferring dynamics from these genomic data. Here we … Continue reading Mathematical Biology Seminar: Modeling gene regulatory network dynamics at single-cell resolution

Wednesday, April 14, 3:20-4:10pm | Zoom

Probability, Analysis, and Data Science (PADS) Seminar: Regime-Switching Jump-Diffusion Processes with Countable Regimes

Speaker: Chao Zhu (University of Wisconsin-Milwaukee) Abstract: This work focuses on a class of regime-switching jump diffusion processes, which is a two component Markov processes $(X(t),\Lambda(t))$, where the analog component $X(t) \in R^{d}$ models the state of interest while the switching component $\Lambda(t)\in \{1,2,\dots\}$ can be used to describe the structural changes of the state … Continue reading Probability, Analysis, and Data Science (PADS) Seminar: Regime-Switching Jump-Diffusion Processes with Countable Regimes

Wednesday, April 14, 4:10-5:00pm | Zoom

Mathematics and Deep Learning (MDL) Collective Seminar: Solving Inverse Problems with Deep Learning

Speaker:  Lexing Ying (Stanford University) Abstract: This talk is about some recent progress on solving inverse problems using deep learning. Compared to traditional machine learning problems, inverse problems are often limited by the size of the training data set. We show how to overcome this issue by incorporating mathematical analysis and physics into the design … Continue reading Mathematics and Deep Learning (MDL) Collective Seminar: Solving Inverse Problems with Deep Learning

Friday, April 16, 4:00-5:15pm | Zoom