Taylor Elise Baum


I solve problems impacting patients in the operating room and students in underserved communities.


As a researcher, I develop methods to derive actionable insights from physiological signals, using control theory, signal processing, machine learning and physiological modeling to inform and automate patient physiology management. My work has advanced systems that automate cardiovascular management, including arterial blood pressure regulation and treatment of serious arrhythmias. My latest publication presents a fast, reliable, and minimally invasive method for addressing critical blood pressure changes during surgery or intensive care, validated with swine data (featured in IEEE Transactions on Biomedical Engineering). My proudest achievement is a closed-loop system for arterial blood pressure control, from theory to in vivo experiments, now undergoing validation in swine. In recognition of my contributions, I was awarded the 2024 Hugh Hampton Young Memorial Fellowship, one of MIT's most prestigious honors.

I envision a future where patient management in operating rooms and intensive care units is automated, objective, and personalized, reducing clinicians' cognitive load and allowing them to focus on tasks requiring human expertise. This approach promises to improve patient outcomes and establish new standards of care.
Research
Beyond research, I am committed to enhancing diversity in engineering. I founded Sprouting, an education company delivering high-quality English and Spanish curriculum tools, reaching over 30 programs in Puerto Rico, Brazil, Peru, Uruguay, New York and Florida. As a faculty member, I aim to support increased representation of ethnic and gender minorities in engineering. My dedication to Diversity, Equity, and Inclusion was recognized with the 2023 Seth J. Teller Award for Excellence, Inclusion, and Diversity, which honors MIT community members advancing these values through work, research, and educational innovation.
Sprouting









10 June 2024 IEEE TMBE Feature
Full Text
MIT News Article

Dynamic Estimation of Cardiovascular State From Arterial Blood Pressure Recordings

This work provides a fast, reliable and minimally invasive way of determining how to treat critical blood pressure changes during surgery or intensive care, as validated with in vivo animal data.


1 July 2023 Full Text

Frequency Domain Analysis of Endocardial Electrograms for Detection of Nontransmural Myocardial Fibrosis in Nonischemic Cardiomyopathy

The study shows that analyzing the frequency of endocardial electrograms better detects midmyocardial fibrosis in nonischemic cardiomyopathy than traditional voltage methods. This approach may improve identification of arrhythmogenic areas for ablation​.