Ben Fox

Ben Fox is a fourth year PhD candidate at the Icahn School of Medicine at Mount Sinai, advised by Girish Nadkarni and Ankit Parekh. His research focuses on building foundational transformer models using physiological signal data from sleep study and ICU monitoring data to estimate risk. Similar to large language models, such as ChatGPT, Ben builds representation models that learn features of multichannel signal data that can be used as input into downstream models to estimate risk outcomes, such as cardiovascular disease in sleep or hemodynamic monitoring in the ICU. Prior to joining the PhD program, Ben worked as a senior data scientist at Evidation Health, working with consumer wearable data to create new health metrics and work with pharmaceutical clients interested in wearable data endpoints in their clinical trials. He also has a background in metabolomics, computer vision, and natural language processing.