Columbia University in the City of New York · NeuroscienceThe CerebroLab
Soojin Park · New York, New York
Research Focus
Dr. Soojin Park's lab at Columbia University Health Sciences focuses on improving the management of patients suffering from acute hydrocephalus and delayed cerebral ischemia, particularly after brain injuries like subarachnoid hemorrhages. The lab leverages machine learning and artificial intelligence to develop predictive models that help identify complications early, aiming to reduce hospital stays and improve patient outcomes. Research utilizes data from patient monitoring to enhance decision-making processes in critical care settings.
HydrocephalusDelayed Cerebral IschemiaMachine LearningClinical Decision SupportArtificial IntelligenceIntracranial PressureCerebrospinal FluidPatient MonitoringNeurocritical Care
Research Aims
5AIM 01Develop a dataset to optimize the management of acute hydrocephalus.
AIM 02Create machine learning models to predict ventriculitis and shunt dependency.
AIM 03Validate an AI risk model for delayed cerebral ischemia for real-time clinical use.
AIM 04Implement user-centered design processes for algorithm integration into clinical workflow.
AIM 05Facilitate open architecture for the dissemination of new monitoring technology.
Skills the Lab Values
Machine LearningData AnalysisClinical Data InterpretationPatient MonitoringRisk Assessment ModelsFederated LearningAI Algorithm DevelopmentStatistical AnalysisUser-Centered Design
Output against the department
Publications2,129top 1% of dept.5th of 671
this lab
most publishedleast published
Citations73ktop 4% of dept.25th of 671
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.