Alyssa  Chen

Alyssa Chen

Scholar Title

MIT EECS | Hudson River Trading Undergraduate Research and Innovation Scholar

Research Title

Real-Time Planning Support for ICU Work Rounds





Research Areas
  • Artificial Intelligence and Machine Learning

Roger Mark


Intensive care units (ICUs) provide lifesaving treatment for critically ill patients. Within the ICU, health care providers routinely meet for a scheduled discussion where the clinical data for a patient are reviewed and a care plan is developed. These discussions, or rounds, allow individual providers to contribute to the overall care plan based upon their specific expertise and familiarity with the patient. I plan to explore various predictive algorithms that can provide data-driven perspectives of patients to ultimately facilitate communication about patient status during rounds, inform the development of care plans, and improve patient outcomes.


“I am participating in SuperUROP to gain more experience in biomedical informatics research. Last year, I took 6.872 (Biomedical Computing) and really enjoyed the final project, during which I had the opportunity to be mentored by Alistair Johnson, a postdoc in Professor Mark’s lab. Through SuperUROP, I look forward to working with Alistair in Professor Mark’s lab again, gaining insight from ICU patient data and improving my research skills.”

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