Principal Investigator

Robert D. Stevens, MD, FCCM

Director - Anesthesiology and Critical Care Precision Medicine
Chief - Division of Informatics, Integration, and Innovation
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

JHM Profile

Other Investigators

Tej Azad, MD

Resident Physician, Neurosurgery
Johns Hopkins University School of Medicine

JHM Profile

Staff & Researchers

Kirby Gong, MSE

Research Assistant - Johns Hopkins Anesthesiology & Critical Care Medicine

Carl Harris

Carl Harris is a second-year Ph.D. student in the Department of Biomedical Engineering, Johns Hopkins University. Previously, he received his bachelor's degree in mathematics and neuroscience, graduating magna cum laude and with highest honors from Dartmouth College and spent two years on the Data Science & Sharing Team at the NIMH. His research focus is machine learning and healthcare.

Graduate Students

Jinzhen Hu

Jinzhen Hu is a graduate student in the department of Applied mathematics and statistics at Johns Hopkins University. He is currently working on leveraging machine learning algorithms to develop predictive models that enhance ICU triage decisions for post-neurosurgical care, aiming to balance resource optimization with patient-specific outcomes. He is passionate about the application of artificial intelligence in the biomedical field.

Yiran Zhong

Yiran Zhong is a master's student studying computer science. His research focus is identify data-driven clusters/sub-phenotypes in patients with TBI admitted to the ICU.

Arnav Khera

Arnav Khera is a first-year medical student at JHUSOM who previously studied neuroscience and applied mathematics at the University of Washington. His research focus is machine learning and predictive modeling of healthcare data. Outside of research, he loves swimming, cooking, and solving puzzles.

Shrinit Babel

Shrinit Babel is a master's student in Artificial Intelligence. His research focuses on data-driven patient categorization for Traumatic Brain Injury.

Veet Zaveri

Veet Zaveri is a current Master's in Computer Science student and conducting research on deep learning models to predict intracranial pressure (ICP) waveforms by using 3 non-invasive physiological signals: arterial blood pressure (ABP), photoplethysmography (PPG), and electrocardiography (ECG).

Michel Raskin

Michel Raskin is a hardware engineer at IMC Trading, also pursuing an Applied and Computational Mathematics Master's. He is studying heterogeneity of treatment effect in patients receiving targeted temperature management (TTM) after cardiac arrest.

Akshay Ramakirshnan

Akshay Bhuvaneswari Ramakrishnan is a Data Science master's student. At LCICM, he is working to identify the most important leads in 12-lead electrocardiogram (ECG) analysis for cardiac condition classification.

Harsh Shekhar

Harsh Shekhar is a quantitative research assistant working on identification of subphenotypes in traumatic brain injuries. The methodology primarily employs Bayesian clustering techniques to elucidate subphenotypes and assess heterogeneity among patients to enhance the application of precision medicine in treatment.

Qiuhao (Alex) Zhu

Alex Zhu is a Masters student at JHU studying Data Science. He is a passionate learner with an enthusiasm for healthcare and artificial intelligence. Currently, Alex is studying two healthcare courses, focusing on Electronic Health Records (EHR), Neural Networks in medical imaging and aging AI fields.

Undergraduate Students

Sampath Rapuri

Sampath is an undergraduate student at Johns Hopkins University majoring in Biomedical Engineering and Computer Science. His project attempts to create and externally validate a predictive model for Pulmonary Embolism in ICU patients. Apart from his academic interests, Sampath enjoys playing badminton and baking.

Jooyoung Ryu

Jooyoung (Eric) Ryu is an undergraduate student at Johns Hopkins University majoring in computer science. His project aims to develop and validate a predictive model for cardiac risk stratification in the ICU. In his free time, Jooyoung loves to play tennis and watch soccer.

Amanda Ferber

Amanda is an undergraduate student at Johns Hopkins University majoring in computer science.

Jeremy Lei

Jeremy is currently majoring in AMS and Neuroscience. At LCICM, he's working to create a predictive model to help neurosurgeons conduct ICU triage. Jeremy loves weightlifting and playing squash for leisure. He's also AllNighters' Baritone and VP.

Nicolas Jos

Nicolas is an undergraduate student majoring in Biomedical Engineering and minoring in Applied Mathematics & Statistics. His goal is to develop and validate a predictive model for the onset and severity of ICU Acquired Weakness. He also enjoys traveling, exercising, and playing baseball.

Vasanth Narayanan

Vasanth Narayanan is an undergraduate student majoring in Computer Science and Cognitive Science. His current work focuses on machine learning prediction of the onset of delirium in ICU patients. He enjoys playing basketball and weight lifting in his free time.

Kevin Lu

Kevin Lu is an undergraduate student majoring in Computer Science and Neuroscience. His project attempts to optimize 12-Lead ECGs using machine learning. In his free time, Kevin likes to practice cello and play soccer.

Simon Rupp

Simon Rupp is an undergraduate student majoring in Computer Science and minoring in Applied Mathematics and Statistics. His project attempts to use Heart Rate Variability (HRV) to create a predictive model for Traumatic Brain Injury (TBI) in ICU patients.

Andy Wang

Andy Wang is an undergraduate student majoring in Applied Mathematics & Statistics and Computer Science. His project focuses on physiological phenotype discovery in patients with TBI using unsupervised learning. Outside of academics, Andy enjoys playing piano and chess.

Chenjia (Jason) Zhang

Chenjia (Jason) Zhang is an undergraduate student majoring in Applied Mathematics & Statistics as well as Computer Science.

Isalis Karhu-Leperd

Isalis Karhu-Leperd is a visiting undergraduate student from EPFL, where she studies Life Sciences Engineering. Her project focuses on heterogeneity of treatment and the effect of targeted temperature management for cardiac arrest in nonshockable rhythms.

Ansh Goyal

Ansh is studying Biomedical Engineering with a focus in Biomedical Data Science. He is researching deep learning methods to predict intracranial pressure (ICP) using non-invasive physiological signals such as arterial blood pressure (ABP), photoplethysmography (PPG), and electrocardiography (ECG).

laboratory of computational intensive care medicine