INTEGRATIVE NEUROMONITORING AND CRITICAL CARE INFORMATICS GROUP

Professor Thomas Heldt

PEOPLE

Current Members

Thomas Heldt

Richard J. Cohen (1976) Professor in Medical Engineering and Science
Associate Professor of Electrical and Biomedical Engineering

RLE Bio | thomas@mit.edu

Thomas Heldt, PhD, is the Richard J. Cohen (1976) Chair in Medical Engineering & Science and Associated Director of the Institute for Medical Engineering & Science (IMES) at MIT. He is also a Professor of Electrical & Biomedical Engineering with MIT’s Department of Electrical Engineering & Computer Science, a Principal Investigators with the Research Laboratory of Electronics (RLE), and the faculty director of PhysioNet and the Medical Electronic Device Realization Center (MEDRC).

Thomas studied Physics and Medicine at Johannes Gutenberg University, Germany, and continued his studies of Physics at Yale University and MIT. He received the PhD degree in Medical Physics from the Harvard-MITDivision of Health Sciences and Technology and commenced postdoctoral training at MIT’s Laboratory for Electromagnetic and Electronics Systems. Prior to joining the faculty, Thomas was a Principal Research Scientist with RLE, where he co-founded and co-directed (with Prof. George Verghese) the Computational Physiology and Clinical Inference Group.

Thomas’s research interests focus on biomedical instrumentation, signal processing, mathematical modeling, and model identification to support real-time clinical decision making, monitoring of disease progression, and titration of therapy, primarily in neurocritical and neonatal critical care. Thomas is particularly interested in developing mechanistic understanding of physiologic systems, and in formulating appropriately chosen computational physiologic models for improved patient care. Thomas also recently assumed the leadership of PhysioNet (with Dr. Tom Pollard), a pioneering and highly influential open-access repository for biomedical signals and clinical data. His research is conducted in close collaboration with colleagues at MIT and clinicians from Boston-area hospitals.

Dora Pereli

Administrative Assistant | dordora@mit.edu 

Based in Los Angeles, Dora Pereli serves as Professor Heldt’s administrative assistant. With a strong background in organization and a keen eye for detail, Dora helps manage the daily operations of Professor Heldt’s work, ensuring everything runs smoothly.

Jamie Koerner

Graduate Student 

 

Jamie is pursuing his PhD in the MIT Department of Electrical Engineering and Computer Science (EECS) under the supervision of Professor Thomas Heldt and Professor Vivienne Sze. His current research is primarily concerned with the use of consumer electronics and deep learning-based eye tracking algorithms for neurological disease monitoring. He received the BA and MA degrees in Economics and the BCS degree in Computer Science from the University of British Columbia in 2015, 2016 and 2018, respectively, the MASc degree in Electrical and Computer Engineering from the University of Toronto in 2020, and the SM degree in Electrical Engineering and Computer Science from MIT in 2026.

Isabella Romero Estevez

Graduate Student

 

Isabella Romero Estevez is a Ph.D. student in Electrical Engineering and Computer Science (EECS) at MIT. She received her B.S. in Biomedical Engineering from the Universidad Politecnica de Madrid (UPM) in 2024.

She worked as a research intern at Hospital Universitario Ramón y Cajal (Madrid) in 2022, where she focused on early detection of cancerous thyroid nodules from ultrasound videos under the mentorship of Dr. Pablo Valderrabano. In 2022-2023, she conducted research on the design and implementation of a robotic device to assist in mirror therapy with Prof. Pedro Malagon (UPM) and Prof. Quentin Sanders (George Mason University).

In 2023-2024, she joined Prof. Thomas Heldt’s lab as a visiting student, working in collaboration with Prof. Lydia Bourouiba, and she is currently continuing her doctoral research in the same group. Her current work focuses on ultrasound-based detection and characterization of gaseous and solid emboli in flow, with applications in critically ill pediatric patients.

Lee Portnoff

Research Affiliate

Lee Portnoff currently supports several projects for the Fluid Healths Network. Previously he worked as a Research Biologist in the Research Branch of the National Personal Protective Technology Laboratory (NPPTL) at the National Institute for Occupational Safety and Health (NIOSH). His career has focused on aerosol science and personal protective equipment research, with experience developing aerosol monitoring devices at the University of California, Davis, and consulting work with institutions including Johns Hopkins University and Charles University in Prague. His primary area of research focused on respiratory protection and source control, including recent publications on the performance of respirators, surgical masks, and protective clothing materials against airborne particles and bodily fluids.

María Ruiz Izquierdo

Visiting Student

María Ruiz Izquierdo is a Visiting Student at MIT and is currently completing her Bachelor’s Degree in Biomedical Engineering at the Universidad Politécnica de Madrid (UPM), Spain.
During the 2023–2024 academic year, she worked as a neuroscience research intern in the Electronics Department of ETSIT-UPM under the supervision of Prof. Giorgos Kontaxakis, where she focused on EEG signal processing for the quantitative evaluation of neurorehabilitation in chronic ischemic stroke patients.
She subsequently completed an exchange year at the École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. There, she joined the Medical Image Processing Lab at Campus Biotech as a neuroimaging research intern under the supervision of Dr. Maria Giulia Preti and Dr. Alison Montagrin, studying the spatiotemporal organization of episodic memory encoding in the hippocampus using functional MRI data.
At MIT, María is currently conducting research in Prof. Thomas Heldt’s laboratory, where her work focuses on non-invasive arterial blood pressure waveform estimation using ultrasound imaging, leveraging carotid wall dynamics and blood-flow characteristics, to enable safer, continuous and site-specific monitoring.

Patricia García Herreros

Visiting Student

 

Patricia García Herreros is a visiting graduate student in the Department of Electrical Engineering
and Computer Science (EECS) at MIT. She received her B.S. degree in Telecommunication
Technologies and Services Engineering from the Universidad Politecnica de Madrid (UPM) in 2023.
During that time, she participated in an international mobility program specializing in electronics at
the Technische Universität München (TUM). She then continued her studies by pursuing a dual M.S.
degree in Telecommunication Engineering and Electronic Systems Engineering at UPM.
During the M.S. in Electronic Systems Engineering, she worked as a research intern in the B105
Electronics Systems Lab at UPM and focused on the development of a module for transcranial
magnetic stimulation simulations.
In 2025, she joined Prof. Thomas Heldt’s lab, as part of the Health & Fluids Network, working in
collaboration with Prof. Lydia Bourouiba. Her current research focuses on developing novel models of
measurements and tracking of mechanisms of disease transmission using combined optical,
electronic, and spectral measurements.

Christina Crow 

Graduate Student

Christina is an MEng student in Electrical Engineering and Computer Science at MIT. She earned her B.S. in EECS from MIT in 2025. Her current research focuses on leveraging novel ultrasound transducer technology to advance cerebral blood flow measurement.

Alumni

Nicholas Kwok

Doctorate of Medicine (2020)

Investigating Hydrocephalus Shunt Obstruction by Simulating Shunt Flow Patterns

Varesh Prasad

PhD HST (2019)

Learning from Clinical Health Data for Real-Time Decision Support in Emergency Department Care of Sepsis

Jack Hensley

MEng EECS (2018)

Characterization of Monitoring Alarms in a Community Hospital Intensive Care Unit

 

Andrea Fanelli

Research Scientist (2017-2018) Postdoc (2013-2017)

Working primarily on the noninvasive ICP estimation approach

Rebecca Mieloszyk

PhD EECS (2016)

Learning and Model-Based Approaches to Improved Patient Monitoring, Assessment and Treatment in Capnography and Procedural Sedation

Max Dunitz

MEng (2016)

Predicting Hyperlactatemia in the ICU

 

Jonathan Matthews

MEng EECS (2016)

An Embedded Device for Real-Time Noninvasive Intracranial Pressure Estimation

 

 

Abubakar Abid

BS and MEng EECS (2015)

Ehinwenma (Ehi) Nosakhare

SM (2015)

QT-Interval Adaptation to Changes in Autonomic Balance

Eun Cho

SB EECS (2015)

Understanding the Intracranial Pressure Waveform Morphology

 

Taibo Li

SB EECS (2015)

Reducing False Alarms in the Intensive Care Unit

 

Zixi Liu

SB EECS (2015)

Oxygenation Patterns of Preterm Infants in Neonatal Intensive Care

 

James Noraky

MEng (2014)

A spectral approach to noninvasive model-based estimation of intracranial pressure

 

 

Karen Brastad Evensen

Visiting PhD Student, University of Oslo

Federico Wadehn

Visiting PhD Student, Swiss Federal Institute of Technology

 

Tiffany Ho

Visiting MD Student, Brown University School of Medicine 

Minoru Matsushima

Visiting Scientist, Nihon Kohden Corporation

 

Other Alumni:

Caitlin Vinci, Sabrina Liu, Rajib Mondal, Mattie Wasiak, Hsin-Yu Jane Lai, Rohan Jaishankar, Syed M. Imaduddin, Jeffrey Peterson, Jonathan Birjiniuk, Daniel Teichmann, Frederick Vonberg, Anand Chandrasekhar, Kai E. Thomenius