I'm a PhD candidate in particle physics at the California Institute of Technology, supervised by Prof. Maria Spiropulu. My experimental research includes the physics of the Higgs boson, supersymmetry and dark matter search at the Large Hadron Collider (LHC).
As a member of the Machine Learning for Particle Physics group at CERN, led by Dr. Maurizio Pierini, I focus on using machine learning techniques to extend the discovery reach of the LHC physics program and to deliver solutions that address the big challenges that High Energy Physics will face in the next decade.
I introduced and developed various algorithms to be used at the LHC experiments -- such as the first anomaly detector based on autoencoder to catch New Physics events at the collider, the topology classifer to improve the efficiency of real-time event selection system that can reduce the false-positive rate by more than one order of magnitude while retaining 99% of the signal, or the graph interaction network for jet physics that improved upon the existing state-of-the-art algorithm by 4 times. I have been invited to deliver a number of lectures and tutorials, primarily on machine learning in high energy physics, at CERN and around Europe.
My physics analysis paved the way to the world's most stringent constraints on double-Higgs production's cross section that can be used to probe the stability of the universe. At CERN, I led a team of 6 to 8 physicists and IT professionals to manage the production workflows of data and simulation samples over the worldwide LHC computing grid, consisting of ∼80 computing centers in 5 continents. For this work, I was nominated and selected for the 2019 Achievement Award by the CMS collaboration at CERN.
Selected Publications:- TQ Nguyen, D Weitekamp, D Anderson et al. Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC. Comput Softw Big Sci (2019) 3: 12 [ePDF]
Invited Lectures and Tutorials- 2019/07: Autoencoders for Jet Physics. 1st Real Time Analysis Workshop. Orsay, France.
Seminars, Conferences, and Workshops- 2019/12: Interaction networks for the identification of Higgs boson decays to bottom quark-antiquark pairs. NeurIPS 2019 Machine Learning and the Physical Sciences Workshop. Vancouver, Canada.
Doctor of Philosophy, Physics
Bachelor of Science, Physics
Magna Cum Laude, Collegium V Honors, and Major Honors.
Bachelor of Architecture
(Did not graduate, but I still do design as a hobby.)
Address 1:1200 E. California Blvd, MC 256-48, CA, USA 91125
Address 2:CERN Bld. 32/3-A-03, Espl. des Particules 1, 1211 Genève, CH