Presented By: University Career Center UCC
COVID Info Commons Research Lightning Talks Webinar: July 16, 2021 – 1:00-2:30pm ET
Dear Researchers and Students,
Join us on Friday, July 16 at 1:00 to 2:30pm ET for the next COVID Information Commons (CIC) research lightning talks webinar! Develop new insights and collaborations to tackle the COVID-19 pandemic and mitigate future pandemics. You will hear from the following NIH and NSF funded researchers, and a CIC Student Paper Challenge Winner, who will share their research focus and findings, and answer questions from the community.
~~~
Ponisseril Somasundaran, Columbia University: Novel foam formulations for decontamination of surfaces with minimum wastewater generation. Funded by NSF Engineering / Division OfIndustrial Innovation and Partnerships.
Sarah T. Stahl, University ofPittsburgh: Efficacy of a Healthy Lifestyle Intervention to Prevent Depression in Older Spousally-bereaved Adults-Supplement. Funded by NIH / Office of the Director; NIA - National Institute on Aging.
Eugene T. Richardson, Harvard Medical School: Social Epidemiology of COVID-19. 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. Fundedby 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 onCa. Funded by NIH / NIGMS - National Institute of General Medical Sciences.
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.
Aditya Kulkarni, University of Minnesota:Human Mobility Patterns Linked to COVID-19 Prone Locations. COVID Information Commons Undergraduate Student Paper Challenge 3rd Place Winner.
~~~
The COVID Information Commons (CIC) is an open portal and community (https://covidinfocommons.net) for researchers, students and decision-makers from academia, government, nonprofits, and industry to identify collaboration opportunities, leverage each other's research findings, and accelerate the most promising research to mitigate the broad societal impacts ofthe COVID-19 pandemic. Watch previous COVID lightning talks on the CIC "Meet the Researchers" page. https://covidinfocommons.datascience.columbia.edu/content/meet-researchers
Best,
Florence Hudson
Co-PI - COVID Information Commons (NSF #2028999)
Executive Director and Co-PI, NortheastBig Data Innovation Hub
https://nebigdatahub.org/about
Columbia University
fh2417@columbia.edu
Join us on Friday, July 16 at 1:00 to 2:30pm ET for the next COVID Information Commons (CIC) research lightning talks webinar! Develop new insights and collaborations to tackle the COVID-19 pandemic and mitigate future pandemics. You will hear from the following NIH and NSF funded researchers, and a CIC Student Paper Challenge Winner, who will share their research focus and findings, and answer questions from the community.
~~~
Ponisseril Somasundaran, Columbia University: Novel foam formulations for decontamination of surfaces with minimum wastewater generation. Funded by NSF Engineering / Division OfIndustrial Innovation and Partnerships.
Sarah T. Stahl, University ofPittsburgh: Efficacy of a Healthy Lifestyle Intervention to Prevent Depression in Older Spousally-bereaved Adults-Supplement. Funded by NIH / Office of the Director; NIA - National Institute on Aging.
Eugene T. Richardson, Harvard Medical School: Social Epidemiology of COVID-19. 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. Fundedby 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 onCa. Funded by NIH / NIGMS - National Institute of General Medical Sciences.
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.
Aditya Kulkarni, University of Minnesota:Human Mobility Patterns Linked to COVID-19 Prone Locations. COVID Information Commons Undergraduate Student Paper Challenge 3rd Place Winner.
~~~
The COVID Information Commons (CIC) is an open portal and community (https://covidinfocommons.net) for researchers, students and decision-makers from academia, government, nonprofits, and industry to identify collaboration opportunities, leverage each other's research findings, and accelerate the most promising research to mitigate the broad societal impacts ofthe COVID-19 pandemic. Watch previous COVID lightning talks on the CIC "Meet the Researchers" page. https://covidinfocommons.datascience.columbia.edu/content/meet-researchers
Best,
Florence Hudson
Co-PI - COVID Information Commons (NSF #2028999)
Executive Director and Co-PI, NortheastBig Data Innovation Hub
https://nebigdatahub.org/about
Columbia University
fh2417@columbia.edu
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