Dedman College News
Originally Posted: January 22, 2021
Four Dedman College students will participate in the upcoming “NSF Student Conference on COVID-19 Modelling” January 28-29, 2021. According to the National Science Foundation (NSF) student conference website, the event “aims to highlight a broad range of interdisciplinary developments on understanding mechanisms behind COVID-19 dynamics.” Key session topics include COVID Data, Forecasting, and COVID Modelling: Mobility and Mitigation.
The conference will showcase research from undergraduate and graduate students from universities across the country as well as senior research experts from the National Institute of Allergy and Infectious Diseases and Yale University.
SMU is well represented at the conference. Students participating in talks and poster presentations include:
- Jonathan Lindbloom, a mathematics major, will present a poster entitled: “Bayesian SIR Models for COVID-19 in Texas“
- Yuzhou Chen, a statistical science Ph.D. student, will present a poster entitled: “A Novel Geometric Deep Learning Model for COVID-19 Forecasting“
- Sabrina Hetzel, an SMU-RTG and Ph.D. student, will present a talk entitled: “Modeling the Spread of COVID-19: A University Study”
- Shuang Jiang, a biostatistics Ph.D. student, will present a talk entitled: “BayesSMILES: Bayesian Segmentation Modeling for Longitudinal Epidemiological Studies“
Conference information including the schedule and a range of topics can be found by visiting this website: https://sites.google.com/view/nsfstudentconference2021/home