Thomas Charlon

Thomas Charlon is a research associate postdoc at Harvard Medical School. He completed his computer science PhD at the University of Geneva (2019) while being employed as a Bioinformatician at Quartz Bio (Merck Serono spin-off) to develop algorithms for clustering and sparse coding of genome-wide data in systemic autoimmune diseases. He then independently researched withheld content on social networks in European countries, and developed a Shiny web app for real-estate price estimation using 10 years of French tax office open-data. As a research associate in the CELEHS laboratory, he focuses on standardizing analysis processes, enhancing statistical visualizations, and facilitating the dissemination of analyses results using APIs. His research applies natural language processing to unstructured text data related to mental health and suicide prevention, as scientific publications and electronic health records, to assist psychiatrists and clinicians in identifying at-risk patients.