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Jennifer Ahjin Kim, MD, PhD, Assistant Professor: Dr. Kim is a critical care neurologist with expertise in quantitative analysis of critical care electroencephalography and neuroimaging. Dr. Kim graduated from Brown University for her undergraduate, MD, and PhD degrees. She completed her residency in Neurology, followed by a neurocritical care fellowship at Massachusetts General and Brigham and Women's Hospitals. Dr. Kim is dedicated to advancing the early diagnosis and treatment of patients with devastating neurologic injury who are at highest risk for short- and long-term complications. Dr. Kim is applying novel computational methods to the data gathered within the neurologic intensive care unit to predict patients who are at high risk for further injury. Her ultimate goal is to use these predictions to optimize treatment strategies that prevent these complications.

Current Members

  • Alison Herman, Clinical Research Analyst - Stroke: Ali received her bachelor's degree in neuroscience from Princeton University. Her undergraduate thesis research in Ilana Witten's lab focused on the cognitive function of D1R and D2R in the nucleus accumbens in a complex decision-making task. She is a member of the Core research group in the Neurocritical Care and Emergency Neurology division, assisting with clinical trials related to ischemic stroke, intracerebral hemorrhage, and traumatic brain injury. In the lab, she assists with the SPAN project.
  • Ilayda Top, BS (Hon), Postgraduate Associate: Ilayda received her bachelor's degree in neuroscience from Brown University in May 2020. She is a member of the Core research team in the Neurocritical Care and Emergency Neurology division. In the Kim Lab, her research interests include investigating the development of delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage.
  • Victor Torres Lopez, Data Manager - Clinical Neuroimaging and Genetic Data: Victor works as the Data Manager/Data Analyst for Clinical, Neuroimaging, and Genetic Data in the Neurology department at Yale. His work in Dr. Kim's lab has focused on using Deep Learning and Natural Language Processing (NLP) to extract acute abnormalities from CT head reports.
  • Yilun Chen
  • Rachel Choi, Postgraduate Research Associate: Rachel received her bachelor's degree in neuroscience from Carnegie Mellon University, and her master's degree in biotechnology from Johns Hopkins University the following year. In the Kim Lab, she primarily studies the development of delayed ischemia in subarachnoid hemorrhage patients.
  • Puneet Uppal
  • Tejaswi D. Sudhakar - Visiting Master's Candidate: Tejaswi Durga Sudhakar is a MBS candidate in the biomedical sciences program at Rutgers SGS. She received her bachelor's degree at New York University. She has a developing clinical research background in neurosurgery and neurology, with a focus on optimizing diagnosis and treatment. Her research interests include: intraoperative neuromonitoring methods in aneurysm surgery; bypass techniques for the management of cerebral aneurysms; the relationship between neuronal alterations in the peritumoral microenvironment of low-grade, glioma-related seizures; and computational methods applied to multiparametric MRI sequences that can facilitate accurate diagnosis of mTBI. In Dr. Kim's lab, she will assess the relevant parameters from neuroimaging sequences that are predictive of the development of post-ischemic stroke epilepsy.


  • Lindsey Kuohn
  • Sarah Chacko
  • Hongyi Pan
  • Grace Rovenolt
  • Hsin Yi
  • Alexandria Soto
  • Angelo Olcese
  • Songlu Li