Research directions

Our lab is interested in:

  • LHC data analysis for Higgs boson and exotic new physics
  • Hardware-accelerated machine learning for trigger and computing
  • Geometric deep learning for particle physics
  • Diversity, inclusion, and social justice in physics

Open positions

We are actively recruiting: graduate students (apply here), and undergraduate students (email us).

Antiracism

We are committed to creating an antiracist, inclusive, and supportive workspace. For resources to combat anti-Blackness and being an antiracist, see the Resources tab.

Contact information

Office:
Mayer Hall Addition 5513
(858) 246-4980

Lab:
Mayer Hall Addition 5545

Mailing address:
Javier Duarte
University of California San Diego
Department of Physics, 0319
9500 Gilman Drive
La Jolla, CA 92093

Support

Our work is supported by the Department of Energy (DOE), Office of Science, Office of High Energy Physics Early Career Research Program under award number DE-SC0021187 (ECA), the DOE Office of Advanced Scientific Computing Research under award numbers DE-SC0021396 (FAIR4HEP), and the National Science Foundation (NSF) under award numbers 2117997 (A3D3) and 2005369 (Voyager), .

Schedule a meeting

News

August 12, 2021: Javier gives an AI Distinguised Lecture at Argonne National Lab

July 26, 2021: Farouk, Raghav, and Javier speak at the 2021 CMS Machine Learning Town Hall

July 14, 2021: Raghav is selected as a 2021 LPC AI Fellow

July 6, 2021: Zichun, Raghav deliver talks at the ML4Jets 2021

June 23, 2021: Raghav delivers an invited talk on message-passing generative adversarial networks for jets at the Machine Learning for Particle Physics Scientific Program at the Mainz Institute for Theoretical Physics

May 26, 2021: Zichun, Haifeng, and Rushil present posters on their work at the UC San Diego Online Undergraduate Research Symposium (OURS)

May 26, 2021: Daniel presents the CMS search for Higgs boson decays into long-lived particles in associated Z boson production at the 9th LLP Workshop

May 26, 2021: Javier gives the Department of Physics and Astronomly Colloquium at Cal State LA.

April 22, 2021: Zichun is selected to receive a 2021 Undergraduate Summer Research Award from the Physical Sciences Division.

March 29, 2021: Javier presents a paper on machine learning for scientific low-power systems with \(\texttt{hls4ml}\) at the first tinyML Research Symposium.

January 26, 2021: Efficient AI in Particle Physics and Astrophysics Research Topic in Front. Big Data and Front. AI edited by Javier has been launched.

January 21, 2021: Steven's work on particle graph autoencoders for anomaly detection included in the LHC Olympics 2020 Community Paper. Our paper on machine-learned particle-flow (MLPF) reconstruction is now uploaded to arXiv.

December 11, 2020: Vesal and Raghav will give poster presentations on their work at the 3rd Machine Learning and the Physical Sciences Workshop at NeurIPS 2020

December 10, 2020: Farouk is selected to receive an IRIS-HEP fellowship to work on MLPF

October 21, 2020: Javier gives a talk including Vesal's work on GNN Tracking on FPGAs in the IRIS-HEP Topical Meeting

October 16, 2020: Javier gives an ECE Graduate Seminar on Real-time AI in particle physics at Carnegie Mellon University

August 12, 2020: Javier gives a virtual seminar on CMS highlights at the Fermilab Users Meeting

August 10, 2020: Javier is a Co-PI on a DOE grant for FAIR frameworks for AI in high energy physics

July 8, 2020: Vesal Razavimaleki is awarded an IRIS-HEP fellowship

July 1, 2020: Javier is awarded a DOE Early Career Award

July 1, 2020: Javier is a Co-PI on an $5 million NSF grant for an AI supercomputer called Voyager at SDSC

June 23, 2020: The CMS Run 2 high-momentum Higgs boson search is submitted to JHEP for publication

May 7, 2020: Steven Tsan is selected to participate in the TRELS Summer Research Program

April 8, 2020: Javier gives a virtual seminar at Argonne National Laboratory

Decembter 14, 2019: Javier and collaborators present work at the 2nd Machine Learning and the Physical Sciences Workshop at NeurIPS 2019