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Mentor Areas

  • Acute severe brain injuries
  • Advanced technology for clinical monitoring of brain physiology

Description:

In the NeuroICU we care for patients with severe acute injuries to the nervous system. Each patient is connected to various monitors which provide real-time data on a particular set of physiological parameters. Ultimately, the number of physiological data points is too numerous to allow the clinician to quickly and accurately determine whether they fall into a pattern that represents a distinct pathophysiological state. We aim to one day harness the power of artificial intelligence to help decipher these data and to offer bedside decision support all in furtherance of improving patient outcomes.

Preferred Qualifications

  • An interest in neuroscience
  • Skills in the areas of data science, artificial intelligence

Details:

Preferred Student Year

First-year, Second-Year, Junior, Senior

Academic Term

Fall, Summer, Spring

I prefer to have students start during the above term(s).

Volunteer

Yes

Yes indicates that faculty are open to volunteers.

Paid

No

Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.

Work Study

No

Yes indicates that faculty are open to hiring work-study-eligible students.

Researcher


Chief, Division of Neurocritical Care