recent news


07-25-2024    (news article) 
Method enables fast, accurate estimates of cardiovascular state to inform blood pressure management. A new mathematical method, validated with experimental animal data, provides a fast, reliable and minimally invasive way of determining how to treat critical blood pressure changes during surgery or intensive care.

06-10-2024    (first-author journal publication)
“Dynamic Estimation of Cardiovascular State From Arterial Blood Pressure Recordings” was published (early access) in IEEE Transactions on Biomedical Engineering.

04-27-2024    (first-author conference paper acceptance)
“Presence of Mid-Myocardial Fibrosis in Ventricular Endocardial Electrograms Is Related to Power of Patient-Specific Frequency Bands” was accepted to IEEE EMBC 2024.

04-27-2024    (first-author conference paper acceptance)

“An Adaptive Algorithm for Detection of Arterial Blood Pressure Pulses” was accepted to IEEE EMBC 2024.

news ︎︎︎


selected research


06–10–2024    (first-author journal paper) IEEE Transactions on Biomedical Engineering
Dynamic Estimation of Cardiovascular State From Arterial Blood Pressure Recordings

01–19–2023    (first-author journal paper) JACC Clinical Electrophysiology
Frequency Domain Analysis of Endocardial Electrograms for Detection of Nontransmural Myocardial Fibrosis in Nonischemic Cardiomyopathy

05–28–2021    (first-author paper) American Control Conference
Theoretical Development of a Closed-Loop System for Blood Pressure Control

07–27–2019    (first-author paper) IEEE Enginering and Biomedical Conference
A Hidden Semi-Markov Model for Estimating Burst Suppression EEG


research ︎︎︎


upcoming teaching


07–30–2024    (virtual lecture) Sprouting
I will be teaching an introduction to statistical modelling of biological systems.

Summer 2024   (course) Break Through Tech AI

I will be teaching an introduction to machine learning to ~200 underrepresented (in gender and ethnicity) students.

teaching ︎︎︎





about me



Taylor Elise Baum



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



I'm an engineer trained in signal processing, controls and machine learning, who is broadly interested in fundamentally understanding biological systems - the cardiovascular system and the nervous system - and developing novel technologies. At the Massachusetts Institute of Technology, I am a rising sixth-year Electrical Engineering and Computer Science PhD candidate.

I'm currently advised by Dr. Emery Brown and Dr. Munther Dahleh. In my current work, I'm building control systems for Closed-Loop Blood Pressure Control (CLBPC), processing cardiovascular signals with a goal of impacting clinical practices during operating room procedures and developing brain state estimation algorithms for use in Closed-Loop Anesthetic Delivery (CLAD) systems.

In addition to my research, I am a highly experienced educator. I am the founder of Sprouting, an education social impact venture geared towards providing high quality bilingual curriculum tools to underserved communities.

biography ︎︎︎


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