Principal Investigator

Robert D. Stevens, MD, FCCM

Director of Anesthesiology and Critical Care Precision Medicine
Associate Director, Precision Medicine Center of Excellence in Neurocritical Care
Associate Professor, Department of Anesthesiology and Critical Care Medicine
Joint Appointments in Neurology, Neurosurgery, and Radiology
Divisions of Neuroscience Critical Care and Adult Critical Care
Johns Hopkins University School of Medicine

Other Investigators

Tej Azad, MD

Resident Physician, Neurosurgery
Johns Hopkins University School of Medicine

Staff & Researchers

Han B. Kim, MSE

Data Scientist - The Johns Hopkins Precision Medicine Center of Excellence for Neurocritical Care
Lab Manager - Laboratory Of Computational Intensive Care Medicine
Senior Research Assistant - Johns Hopkins Anesthesiology & Critical Care Medicine

Peter Dziedzic, MS

Software Engineer - Neurology and Neurosurgery
Research Data Systems Manager - Neurology and Neurosurgery

Niteesh Potu, MS

Software Engineer - Neurology and Neurosurgery

Ali Afshar, PhD

Research Fellow, Johns Hopkins School of Medicine

Graduate Students

Hieu Nguyen

PhD Candidate - Johns Hopkins University Department of Biomedical Engineering
PI: Joao Lima. MD

Qingchu Jin

PhD Candidate - Johns Hopkins University Department of Biomedical Engineering
PI: Raimond L. Winslow, PhD

Peter Cruz

Peter is currently a post-baccalaureate premedical student at Johns Hopkins University. He holds a B.S. in Mechanical Engineering from the University of Florida. Before coming to Hopkins, he worked as a structural engineer at Pratt & Whitney, where he analyzed high-pressure compressors of military aircraft engines.

SHUBHAYU Bhattacharyay

Shubhayu is a Ph.D. student in Clinical Neurosciences at the University of Cambridge, co-supervised by Drs. Ari Ercole, David Menon, and Robert Stevens. He completed a B.S. at Johns Hopkins with a double major in biomedical engineering and applied mathematics & statistics. During his undergraduate years, Shubhayu worked as a research assistant to Dr. Stevens, developing computational motor signatures from wearable accelerometers for neurointensive care.

Undergraduate Students

Sean Glaister

Sean is currently a Junior from Boulder, Colorado majoring in biomedical engineering and minoring in leadership studies and entrepreneurship and management. His LCICM project involves developing an algorithm for Intensive Care Unit (ICU) patients to predict, upon discharge, patients’ likelihood of being readmitted to the ICU. In his free time, Sean enjoys volleyball, tennis, biking, and playing music.

Neha Sangana

Alexandra Szewc

Alexandra is a sophomore at Hopkins majoring in Biomedical Engineering and Computer Science. Her project aims to develop a computational model to predict successful extubation after mechanical ventilation in the ICU. Outside of her project, she is an epee fencer in the NCAA and enjoys playing with her cat.

Jason Guo

Jason is a senior at Johns Hopkins University majoring in Molecular and Cellular Biology. His work focuses on leveraging data science to identify novel endotypes of sepsis using physiological time series data. In his free time, he enjoy playing the violin and drums and have been getting into running.

Jocelyn Hsu

Jocelyn is currently a sophomore majoring in biomedical engineering and minoring in computer science. Her LCICM project involves developing an algorithm for cardiac arrest patients to predict whether patients will benefit from temperature targeted management treatment (TTM). Outside of the lab, Jocelyn enjoys playing the piano and tennis.

Ahmed El-Morsy

Lina Tewala

Lina is an undergraduate Biophysics major and Math minor at Johns Hopkins. She recently joined LCICM and is working on the DVT/PE prediction project. She is interested in computational research in medicine, Physics, and interdisciplinary fields. In her free time, she enjoys hiking and baking with chocolate.

CASEY WEINER

Casey is a senior at Johns Hopkins University majoring in Biomedical Engineering, Applied Mathematics & Statistics, and Mathematics. He is leading a project on evaluating DTI-based connectomes from a population of aneurysmal subarachnoid hemorrhage patients with graph theory and graph statistics, and using this analysis to inform predictive models of patient outcome. In his spare time, he enjoys playing the guitar and doing math.