Skip Navigation
Search

COVID-19 Seed Grant Award Winners

 

Below are the winners of the OVPR and IEDM COVID-19 Seed Grant Program.  The Office of the Vice President for Research and the Institute for Engineering-Driven Medicine joined together to provide funding for this special initiative seed grant program in the Spring 2020 semester. Faculty were asked to submit a brief proposal that included the specific aims, research methods, potential impact, and timeline of their projects as well as plans for developing highly competitive proposals for extramural funding. The call for applications, which was open for less than three weeks, received 63 submissions from Principal Investigators in the College of Arts and Sciences, College of Business, College of Engineering and Applied Sciences, School of Marine and Atmospheric Sciences, School of Medicine, and School of Social Welfare. The following winners were announced on May 18, 2020.

Nancy Reich,   Janet Hearing,   Patrick Hearing, and  Hwan Kim, Department of  Microbiology and Immunology:  Interferon-lambda as a Broad-spectrum Antiviral Drug for COVID-19

Carlos Simmerling,  Laufer Center for Physical and Quantitative Biology and Evangelos Coutsias, Department of Applied Mathematics and Statistics:   Multiscale molecular simulations to develop inhibitors of the SARS-CoV-2 coronavirus membrane fusion protein

Matthew Lerner, Department of Psychology and  Jennifer Keluskar, Department of Psychiatry and Behavorial Health:    Psychosocial Impact of COVID-19-Induced Social Isolation (PICSI) on Youth with Autism Spectrum Disorder: A Longitudinal Study

Peter Tonge, Department of Chemistry,  Dima Kozakov, Department of Applied Mathematics and Statistics, and  David Thanassi, Department of Microbiology and Immunology: Targeted degradation of the SARS-CoV-2 Mpro protease as a novel therapy for treating COVID-19 infection

Shobana Shankar,  Department of History:  Adapting Social Behaviors during the Ebola and COVID-19 Emergencies: A Household-Level Analysis from the West African Region

Markus Seeliger, Department of Pharmacological Sciences, and  David Liu, Department of Chemistry and Chemical Biology at Harvard University:  Structure-based Development of Novel Cyclophilin Inhibitors for Studying and Blocking Viral Replication of Human Coronaviruses

Erich Mackow, Department of Microbiology and Immunology: Therapeutic Targeting SARS-CoV-2 Induced ACE2/Bradykinin Pulmonary Edema

Brady Nelson, Lauren Richmond, and Jessica Schleider, Department of Psychology:  Effect of The Coronavirus (COVID-19) Pandemic on the Academic, Career, Mental, Psychosocial, and Physical Functioning of the SBU Community

Liliana Davalos, Department of Ecology and Evolution, and  Jaymie Meliker, Department of Family, Population and Preventative Medicine:  Inter-Species Modeling for Spillback/Spillover Avoidance

Heidi Preis and  Marci Lobel, Department of Psychology, and  Brittain Mahaffey, Department of Psychiatry and Behavorial Health:  The COPE Study (COVID-19 Pregnancy Experiences)-- Experiences of  Women Pregnant During the COVID-19 Pandemic and Associated Health Impacts

Nicholas Carpino and  Erich Mackow, Department of Microbiology and Immunology:  Investigating the role of the Sts enzymes in coronavirus-induced hyper-inflammation: establishing a foundation for immunomodulatory-based therapeutic intervention.

Chao ChenPrateek Prasanna, and  Janos Hajagos, Department of Biomedical Informatics:  COVID-19 Prognosis with Interpretable Deep Learning Methods

Wadie Bahou and   Dmitri Gnatenko, Department of Medicine,   Cecilia Avila, Department of  Obstetrics, Gynecology and Reproductive Medicine, and  Wei Zhu,  Department of Applied Mathematics and Statistics:  Biomarker Identification for COVID-19 Risk Stratification in Maternal Fetal Heath

Prateek Prasanna, Department of Biomedical Informatics,   Dimitris Samaras, Department of Computer Science,  and  Elaine Gould,  Department of Radiology:  The Virus is in the Details: Discovering Subtle COVID-19 Visual Features on Chest X-rays Using Machine Learning

Arie Kaufman, Department of Computer Science and  Marlene Zawin, Department of Radiology:  Use of Chest CT and Machine Learning for Diagnosis and Management of  COVID-19 Patients

Miguel Garcia-Diaz, Department of Pharmacological Sciences and Robert Rizzo, Department of Applied Mathematics and Statistics:  Pharmacological inhibition of SARS-CoV-2 replication

Peng Zhang and  Yuefan Deng, Department of Applied Mathematics and Statistics,   Miriam Rafailovich,  Department of Materials Science and Chemical Engineering and  Marcia Simon,   Department of Oral Biology and Pathology:  Multiscale Modeling of Binding SARS-CoV-2 to Various Substrates