Background
I'm building GLP-1 Observer, an independent tracker of the obesity-drug landscape. It combines a live clinical-trial dashboard with The GLP-1 Verdict, which standardizes assessments of drug efficacy, tolerability, and evidence strength, and plain-English Field Guides. The GLP-1 Subway is a scroll-through explainer of how GLP-1 medicines work, set as a subway ride. Read more about why I'm building this.
Previously, I was a professor at Harvard Medical School, where I focused on researching how people learn. I used machine learning and large language models (multimodal models) to understand how people learn and to help them reach their learning goals.
Prior to focusing on research, I created HMX, an online learning platform and set of courses from Harvard Medical School. I built a multi-disciplinary team (scientists and curriculum experts, artists, animators, marketing, business development, and tech) from the ground up and led the design, build, and go-to-market for a range of unique, interactive online courses, from immunology to genetics to AI in medicine, with an emphasis on active learning and using learning science to help people optimize their experience.
I also have a strong technical background, originally computer science from MIT, and have used that background to continue programming a variety of projects. I did the programming for the research projects, including the LLM-related work, and implemented the data analysis pipeline for our initial online learning dashboards and user-facing reports. I think a lot about how to help people acquire knowledge more efficiently and effectively, and the role that AI can play in that.