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Fall 2021 Seed Grant Award Winners

Below are the winners of the Fall 2021 Seed Grant Program competition. Faculty were asked to submit an abstract and brief proposal, including a timeline that demonstrated how this seed funding would help to develop a highly competitive proposal for extramural funding. Seventy-seven applications were received from the College of Arts and Sciences, the College of Engineering and Applied Sciences, the School of Health Technology and Management, the School of Medicine,  the School of Nursing, the School of Marine and Atmospheric Sciences, and the School of Social Welfare. The following projects were selected for funding with an award start date of January 1, 2022.


Eric Brouzes, Department of Biomedical Engineering: Platform for High Spatial and Transcriptomic Resolution

Yong Chen, School of Marine and Atmospheric Sciences: Analyzing the historical Hudson River Biological Monitoring Program to develop an integrated program for long-term monitoring of Hudson River ecosystem dynamics

Matthew Dawber, Cyrus Dreyer, and Marivi Fernandez-Serra, Department of Physics and Astronomy: Towards designer superlattice potentials in 2D material-ferroelectric oxide composites: Developing ordered nanoscale domains

Bruce Demple, Department of Pharmacological Sciences, and John Haley, Department of Pathology: A new generation of molecular probes to assess cellular DNA repair pathways

Carly Gomes, Department of Pediatrics, and Howard Sirotkin, Department of Neurobiology and Behavior: Modulating NMDA receptors to minimize neuronal injury in neonatal hypoxic ischemic encephalopathy

Jason Jones, Department of Sociology: Predicting the Self with Machine Translation

Min-Jeong Kim, Nikhil Palekar, and Sara Weisenbach, Department of Psychiatry and Behavioral Health: Imaging of Neuroinflammation in Older Adults with Persistent Post-COVID Cognitive Impairment

Jordan Kodner, Ellen Broselow, and Robert Hoberman, Department of Linguistics, and Owen Rambow, Department of Linguistics and Institute for Advanced Computational Science: Arabic Morphology in Theory, Learning, and Practice

Ed Luk, Benjamin Martin, and David Matus, Department of Biochemistry and Cell Biology: A pipeline to develop antibody-based tools to visualize and manipulate molecules in living systems

Arianna Maffei and Mary Kritzer, Department of Neurobiology and Behavior: Defining the electrophysiological characteristics of functional subdivisions of the subthalamic nucleus: Implications for deep brain stimulation in Parkinson's disease

Carrie McDonough, Department of Civil Engineering, Bruce Demple, Department of Pharmacological Sciences, and Arjun Venkatesan, School of Marine and Atmospheric Sciences: "Forever Chemicals" Close to Home: Assessing Human Exposure, Metabolism, and Toxicity for Per- and Polyfluoroalkyl Substances (PFAS) in Consumer Products

Yingtian Pan and Congwu Du, Department of Biomedical Engineering, and Styliani-Anna E. Tsirka, Department of Pharmacological Sciences: AI-enhanced Multimodality Optical Platform to Image Tumor Microenvironment in Awake Brain

Prateek Prasanna, Department of Biomedical Informatics, and Kartik Mani, Department of Radiation Oncology: Quantitative Image-based Response Prediction in Patients Receiving Radiation for Primary Brain Cancer or Intracranial Metastases

Howard Sirotkin and Lonnie Wollmuth, Department of Neurobiology and Behavior: Developing Prime Editing to Model Autism

Yongjun Zhang, Department of Sociology and the Institute for Advanced Computational Science, and Siwei Cheng, New York University: Human Mobility and Segregation in the U.S.