Current and Upcoming

July 2021 COVID-19 Research Webinar: Lightning Talks and Q&A

July 16, 2021
1:00 PM - 2:00 PM
Virtual - Zoom

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.

Join us on Friday, July 16th, at 1:00-2:30pm Eastern Time, to hear from the following speakers. Register here for your unique Zoom link and calendar information.

Ponisseril Somasundaran, Columbia University: Novel foam formulations for decontamination of surfaces with minimum wastewater generation. Funded by NSF Engineering / Division Of Industrial Innovation and Partnerships.

Sarah T. Stahl, University of Pittsburgh: Efficacy of a Healthy Lifestyle Intervention to Prevent Depression in Older Spousally-bereaved Adults-Supplement. Funded by NIH / Office of the Director and NIA - National Institute on Aging.

Eugene T. Richardson, Harvard Medical School: Social Epidemiology of COVID-19. Funded by NSF Biological Sciences / Division of Environmental Biology. Funded by NIH / NIAID - National Institute of Allergy and Infectious Diseases

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.

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.

Marc Reidel, 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.

Aditya Kulkarni, University of Minnesota: Human Mobility Patterns Linked to COVID-19 Prone Locations. COVID Information Commons Undergraduate Student Paper Challenge 3rd Place Winner.