I’m a data scientist, specializing in applications to healthcare, but with experience in several domains.  I was trained as a mathematician though I’ve always had a wide variety of interests.  I spent some time in academia, then worked in industry on prediction algorithms in healthcare and fraud detection.  Now I mix the two, splitting my time between teaching data science bootcamps and practicing data science through a variety of consulting projects.  I am currently the organizer of the Healthcare Data Science Meetup, and am increasingly active in the data science and open-source communities.


Brian Lucena received an AB from Harvard and a PhD from Brown, both in the field of Applied Mathematics.  He held research and teaching positions at the University of Washington, UC-Santa Cruz, UC-Berkeley, and the American University in Cairo.  He then moved into industry, where as Chief Mathematician at Guardian Analytics he led a team to develop fraud detection algorithms based on Bayesian behavior modeling.  Subsequently, as Senior VP of Analytics at PCCI, he developed real-time, state-of-the-art algorithms for readmission risk prediction, sepsis detection, and cardiac arrest detection that have been deployed at several hospitals.  He currently teaches data science at Metis and consults through his company, Numeredical.