Harvard Catalyst Profiles

We are a team of computer scientists and physicians interested in pushing the boundaries of how point of care ultrasound can be used to improve patient care at Brigham and Women's hospital. Example clinical applications are in assessing: volume overload from lung ultrasound, brain shift from intraoperative ultrasound, ascites and small bowel obstruction from abdominal ultrasound. We would like to add medical students to the team who are interested in the potential of ultrasound as a point of care modality. Requirements are facility with EPIC, RPDR, Visage and a strong interest in contemporary approaches to machine learning.

We are in the process of setting up a nonprofit entity for open-source software and hardware that would bring neurosurgical navigation systems to places that cannot afford to have them at the current market prices. We are looking to add a student to the team who can work with management consultants as we establish a separate entity (seeded by MGB philanthropists). The student will assist in conducting market research, drafting proposals, preparing presentations, and supporting operational logistics for launching and growing the nonprofit organization.

Are you interested in how AI algorithms can be used to monitor heart failure patients better/cheaper/faster in emergency rooms where they are now boarded for ever longer durations? We are interested in adding a medical student to the team who is curious about what ultrasound can possibly see in the lungs, why is that a useful way to monitor heart failure, why should AI matter, and why we are the right people to develop a solution. The student role will depend on their interest and skills.