Aidy
Winter 2024Mobile app helping people better manage chronic health conditions
About Company
Aidy is a mobile app that helps people live fuller lives with chronic health conditions, beginning with Inflammatory Bowel Disease (Crohn’s Disease and Ulcerative Colitis). Our app lets users easily log their symptoms, diet, and treatments, then uses clinical indices to track disease severity and trends over time. Aidy excels at identifying patterns between diet, treatment adherence, and symptoms, giving our users a much more comprehensive and up-to-date picture of their condition to supplement clinician care. Previously in our careers, both Max and Peter worked in health in different capacities. At the Rockefeller Foundation and the United States Senate, Max worked in public health policy and COVID-19 response, while Peter worked as an ML researcher for a number of biotech companies. After a lengthy “pivot hell” we decided to finally listen to a friend with IBD who insisted that there weren’t any decent apps to help people live with the disease. Pretty quickly, we discovered how LLMs and regular structured questionnaire responses could provide a level of patient empowerment not possible before for chronic diseases. From there, Aidy was (re)born!
Active Founders
I'm building Aidy, a mobile app that helps people better manage chronic health conditions, starting with IBD. Previously I worked on AI and global health at The Rockefeller Foundation, served as a foreign policy fellow in the U.S. Senate, worked as the data director for a victorious Senate campaign, and helped launch a COVID testing lab in Delaware during the pandemic. I studied CS and policy at MIT, where I was named a Truman Scholar and a finalist for the Rhodes Scholarship.
I'm building Aidy, an app that helps people understand and navigate their chronic health conditions like IBD. My background is in machine learning, where I specialized in graph neural networks and causal inference for bio and health data. I hold a BA (2020) and MEng (2021) from MIT, where I studied Electrical Engineering and Computer Science with a focus on Artificial Intelligence.
