A data scientist
with extensive background in experimental particle physics, I recently completed a 12-week data science bootcamp at Metis in New York City, where I developed projects based on skills in programming, statistics, machine learning, communication, and design.

Before Metis I helped conduct two of the largest particle physics experiments in the world: CDF (“Collider Detector at Fermilab”, at the Tevatron accelerator near Chicago, IL) and CMS (“Compact Muon Solenoid”, at the Large Hadron Collider near Geneva, Switzerland). While studying the large datasets produced by these experiments I was fortunate to be able to contribute to two of their most important discoveries: the top quarkCDF Collaboration (F. Abe et al.), “Observation of top quark production in pbar-p collisions with the Collider Detector at Fermilab,” Phys. Rev. Lett. 74, 2626 (1995). in 1995 and the Higgs bosonCMS Collaboration (S. Chatrchyan et al.), “Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC,” Phys. Lett. B 176, 30 (2012). in 2012.

How do we extract information from observations? As a particle physicist I wanted to make sure that my experiments did this correctly. I served on both the CDF and CMS “statistics committees”, charged with promoting sound analysis methods and with communicating clear and unambiguous results.

I am passionate about understanding how to use data to test ideas, hypotheses, and models; how to visualize data and communicate its information content; and how to develop insight. What can we ask, and how can we find an answer?

About this site

This site was created with the Tufte theme for Content-centric blogging in Jekyll.

About - luc demortier