July 2021 COVID Research Webinar Lightning Talks Q&A
Channel: Northeast Big Data Innovation Hub
Date: 2021-07-19

Meet the scientists seeking new insights on COVID-19. Every month, we bring together a group of researchers studying wide-ranging aspects of the current pandemic, to share their research and answer questions from our community. Learn more about their ongoing efforts in the fight against COVID-19, including opportunities for collaboration.

This webinar features the following speakers: 

Eugene T. Richardson, Harvard Medical School: Social Epidemiology of COVID-19. Funded by NIH / NIAID - National Institute of Allergy and Infectious Diseases.
📜 Read an English Transcription of this presentation: https://bit.ly/3hzWaf6

Babatunde A. Ogunnaike, University of Delaware: Predictive Modeling & Optimal Control Framework for Model-Based Epidemic Response in Delaware. Funded by NIH / NIGMS - National Institute of General Medical Sciences.
📜 Read an English Transcription of this presentation: https://bit.ly/36QcA0R

Liqi Alex Lai, Cornell University: SARS-CoV-2 Fusion Peptide has a Greater Membrane Perturbating Effect than SARS-CoV with Highly Specific Dependence on Ca. Funded by NIH / NIGMS - National Institute of General Medical Sciences.
📜 Read an English Transcription of this presentation: https://bit.ly/3HDPPKl

Marc Riedel, University of Minnesota: Computationally Predicting and Characterizing the Immune Response to Viral Infections. Funded by NSF Computer and Information Sciences and Engineering / Division of Computing and Communication Foundations.
📜 Read an English Transcription of this presentation: https://bit.ly/3tri1uH

Aditya Kulkarni, University of Minnesota: Human Mobility Patterns Linked to COVID-19 Prone Locations. COVID Information Commons Undergraduate Student Paper Challenge 3rd Place Winner.
📜 Read an English Transcription of this presentation: https://bit.ly/3IBML2M

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Timestamps
04:52 Babatunde A. Ogunnaike, University of Delaware
15:32 Eugene T. Richardson, Harvard Medical School
25:42 Liqi Alex Lai, Cornell University
35:04 Marc Reidel, University of Minnesota
47:14 Aditya Kulkarni, University of Minnesota
57:05 Q&A Session

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💻 Learn more about the COVID Information Commons: https://covidinfocommons.datascience.columbia.edu/

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