Built a really complex probabilistic dosing digital twin for cell and gene therapy that probably no one is going to use. Also got AI agents to query graph databases in real time for context-aware retrieval.
Data scientist · Boston
Probabilistic models. Graphs. LLMs.
I use them to solve complex business problems in high-entropy systems.
Currently a Senior Data Scientist at Vertex Pharmaceuticals. Moderna and Harvard Medical School alum. I hold an M.S. in Data Science from Harvard and an M.Eng. from ESPCI Paris.
“You just can’t beat the person who never gives up.”
Selected work
A few things that escaped the notebook.
Built a bunch of AI algorithms for CMC teams that totalled eight figures in ROI.
Built geometric deep learning models to predict immune-system binding from molecular surfaces.
Recently, with a microphone
Talks & conversations.
Podcast
From a Career-Ending Rugby Injury to Ironman Worlds
Built By Endurance · Episode 10
Thirty minutes on leaving rugby, finding triathlon, qualifying for Ironman Worlds, and fitting 18–20 training hours around a job in AI.
DetailsConference talk
Unlocking Predictive Manufacturing: The Data Science Revolution in Pharma
Lab of the Future Congress USA
A practical look at the data foundations CMC teams need before predictive manufacturing can become more than a slide-deck ambition.
DetailsOff duty
Elite sponsored triathlete, multiple Ironman podiums, World Championship qualifier, and former national-level rugby player. Apparently one demanding hobby was not enough.