Harvard Catalyst Profiles

HARNESSING THE POWER OF ARTIFICIAL INTELLIGENCE TO IMPROVE SURGICAL AND PREGNANCY OUTCOMES We are working on developing the first in human artificial intelligence-powered algorithms to transform the care for pregnant women at risk for adverse pregnancy outcomes. There are multiple events around the time of delivery that can affect the maternal and fetal outcome and experiences. We use various transparent machine learning techniques to predict and prevent severe maternal morbidity, detect racial bias, and improve patient safety. Our lab is a welcoming and an inclusive environment, and we have a great experience with HMS students. We are looking for a motivated and self-directed team player who is interested in obstetrics, anesthesia, and clinical/translational research. The job involves interacting with patients and providers as well as accessing medical records to collect clinical data and basic data analysis. No prior experience is necessary; this job is suitable for any medical student level. The student will have the opportunity to get experience with research design, IRB application, review, and statistics. If the candidate has experience with computer science/Python/ PostgreSQL, we can offer some additional experience in data science and machine learning. There are opportunities for remote work and in-person clinical research work, depending on the candidate's schedule. We anticipate a minimum commitment of 15 hours per week for at least 12 weeks.