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Thomas's research interests focus on 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. In particular, Thomas is interested in developing a mechanistic understanding of physiologic systems, and in formulating appropriately chosen computational physiologic models for improved patient care. His research is conducted in close collaboration with colleagues at MIT and clinicians from Boston-area hospitals.
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2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2023): 1-5
Patrick W. Moore,Hrishikesh M. Rao,Christine Beauchene, Emilie Cowen,Sophia Yuditskaya,Thomas Heldt,Laura J. Brattain
2023 IEEE 19th International Conference on Body Sensor Networks (BSN)pp.1-6, (2023)
Varesh Prasad, Baturay Aydemir, Iain E Kehoe, Chaya Kotturesh, Abigail O'Connell, Brett Biebelberg, Yang Wang,James C Lynch, Jeremy A Pepino,Michael R Filbin,Thomas Heldt,Andrew T Reisner
PLOS digital healthno. 11 (2023): e0000365-e0000365
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2022 IEEE High Performance Extreme Computing Conference (HPEC)pp.1-7, (2022)
arXiv (Cornell University) (2022)
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