My name is Javier Duarte. I am an Assistant Professor in experimental high energy physics at UC San Diego and a member of the CMS collaboration at CERN. My research interests include measuring the properties and couplings of the Higgs boson and searching for beyond-the-standard-model particles in LHC data. I am interested in developing machine learning algorithms, real-time trigger systems (with applications to embedded devices), and heterogenous computing architectures for the next generation of high energy physics experiments.

## Publications

### 2019

• Interaction networks for the identification of boosted $$H\to b\overline{b}$$ decays
• JEDI-net: a jet identification algorithm based on interaction networks
• Charged particle tracking with quantum annealing-inspired optimization
• FPGA-accelerated machine learning inference as a service for particle physics computing
• Search for low-mass resonances decaying into bottom quark-antiquark pairs in pp collisions at $$\sqrt{s}$$ = 13 TeV

### 2018

• Fast inference of deep neural networks in FPGAs for particle physics
• Search for narrow and broad dijet resonances in proton-proton collisions at $$\sqrt{s}$$ = 13 TeV and constraints on dark matter mediators and other new particles
• Searches for dijet resonances in pp collisions at $$\sqrt{s}$$ = 13 TeV using the 2016 and 2017 datasets
• Fast reconstruction and data scouting