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Current Members

  • 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 and M.D.-Ph.D. degrees. She completed her residency in Neurology followed by a neurocritical care fellowship at Massachusetts General and Brigham & 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 which prevent these complications.
  • Postdoctoral Associate

    Mariya is a PostDoc Associate at the Neurocritical Care and Emergency Neurology, Yale School of Medicine. She holds a PhD in Clinical Neuroscience from Imperial College London and a MPhil in Bio-inspired Robotics from Cambridge University.
  • Data Mgr - 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. He specializes in artificial intelligence, machine learning, natural language processing, statistical modeling, and big data analytics. Victor has successfully applied these skills to various medical research projects. In the past years his work is focused on using deep learning and natural language processing techniques to extract acute abnormalities from CT head reports.
  • Clinical Research Analyst

    Puneet is a Postgraduate Research Associate in the Neurocritical Care and Emergency Neurology Department at Yale School of Medicine. He has a background in Computer Science (Masters) and Neuroscience (BS). He works primarily in the research of Traumatic Brain Injury (TBI) building tools for neurobiophysiological signal visualization and analysis, developing algorithms for signal processing, and analyzing acquired data. He also works with another group on the development of a neural sensor device.

Collaborators

Alumni

  • Sarah Chacko
  • HsinYi (Cindy) Chen
  • Yilun Chen
  • Rachel Choi
  • Satvik Dasariraju
  • Alison Herman
  • Eva Kitlen
  • Lindsey Kuohn
  • Songlu Li
  • Angelo Olcese
  • Hongyi Pan
  • Grace Rovenolt
  • Alexandria Soto
  • Ilayda Top