Javier Duarte is an Associate Professor of Physics at UC San Diego and a member of the CMS experiment at the CERN Large Hadron Collider. He leads a research group developing new artificial intelligence (AI) techniques for high-energy particle collisions to better measure the properties and interactions of elementary particles, like the Higgs boson, and search for new physics. Before joining UC San Diego, he was a Lederman postdoctoral fellow at Fermilab and received his Ph.D. in Physics at Caltech and his B.S. in Physics and Mathematics at MIT. Prof. Duarte has received the APS Henry Primakoff Award for Early-Career Particle Physics, Sloan Research Fellowship, RCSA Cottrell Scholar Award, DOE Early Career Award, and is a co-PI of the NSF HDR Institute for Accelerated AI Algorithms for Data-Driven Discovery.
Our lab is interested in:
Graduate students: see admissions requirements here, and undergraduate students: fill out the Google form here.
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.
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
Our work is supported by the Alfred P. Sloan Foundation under grant #FG-2023-20452, Research Corporation For Science Advancement (RCSA) under grant #CS-CSA-2023-109, 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 number DE-SC0021396 (FAIR4HEP) and the Extreme Data Reduction for Science Project (XDR), and the National Science Foundation (NSF) under award numbers 2117997 (A3D3) and 2005369 (Voyager).
November 3-8, 2024: Zihan presents Large-Scale Pretraining and Finetuning for Efficient Jet Classification in Particle Physics and Billy presents Learning Symmetry-Independent Jet Representation via Jet-Based Joint Embedding Predictive Architecture at ML4Jets 2024.
October 24, 2024: Melissa presents Real-time Anomaly Detection at the L1 Trigger of CMS Experiment at CHEP 2024.
July 21-27, 2024: Javier presents an invited talk on Machine Learning Opportunities for the Next Generation of Particle Physics at ICML 2024
July 17-24, 2024: Daniel Diaz presents on Probing new physics with dedicated data streams at CMS and Javier presents on Novel ML technique applications at ICHEP 2024.
June 18, 2024: Raghav successfully defends his Ph.D. thesis on Understanding the High Energy Higgs Sector with
CMS and Artificial Intelligence
May 21, 2024: Javier visits SLAC to give an FPD seminar
April 3-6, 2024: Rohan, Billy, and Tony present their work at the APS April Meeting, and Javier presents as the winner of the Henry Primakoff Award for Early-Career Particle Physics
March 11-15, 2024: Zihan presents Leveraging Large-Scale Pretraining for Efficient Jet Classification: An Evaluation of Transfer Learning, Model Architectures, Dataset Scaling, and Domain Adaptation in Particle Physics at ACAT 2024.
December 15, 2023:Anni presents the group's latest work on induced generative adversarial particle
transformers at the Machine Learning and the
Physical Sciences Workshop at NeurIPS 2023
October 24, 2023: Javier is named the 2024
Henry Primakoff Award for Early-Career Particle Physics Recipient
October 6, 2023: Zichun presents Lorentz Group Equivariant
Autoencoders at the APS
Far West Meeting
September 25-28, 2023: Farouk presents Scalable neural network models and
terascale datasets for particle flow reconstruction, Luke presents Optimizing Sparse Neural
Architectures for Low-Latency Anomaly Detection, Liv presents FKeras: A Sensitivity Analysis Tool
for Edge Neural Networks, and several other collaborators present at the Fast Machine Learning for
Science
2023 Workshop
September 13-14, 2023: As the new CMS ML Group convener, Javier co-organizes the 2023
CMS ML Town Hall at CERN
July 18, 2023: Daniel Diaz presents on the
Search for new physics with long-lived and unconventional signatures in CMS
at the 31st Lepton Photon Conference
July 10, 2023: Several group members present at the A3D3 High-Throughput AI Methods and Infrastructure
Workshop
May 11, 2023: Carlos presents the
JetNet Python library and Haoyang (Billy) presents on
FAIR AI Models in High Energy
Physics in the
Artificial Intelligence and Machine Learning Session of the 2023 Conference on Computing in High Energy
and Nuclear Physics (CHEP)
May 10, 2023: Dr. Melissa Quinnan was awarded a School of Physical
Sciences EDI Excellence Award!
April 26, 2023: Javier was recognized as a university-wide faculty recipient of a UCSD Inclusive
Excellence Award for his work on diversity, equity, and inclusion in the Physics Department.
April 15, 2023: The lab volunteered at the 2023 Barrio
Logan Arts & Science Expo and shared a particle identity quiz and Particle Zoo
buttons with attendees!
February 15, 2023: Javier was named a 2023
Sloan Research Fellow
February 10, 2023: Congratulations to Anni, Thomas, and Rohan for receiving 2022-2023
Physical Sciences Dean's Undergraduate Awards for Excellence
February 9, 2023: Javier was awarded a 2023 RCSA
Cottrell Scholar
Award
December 3, 2022: Farouk presents "Do graph neural networks learn traditional jet
substructure?" at the Machine Learning and the
Physical Sciences
Workshop at the NeurIPS 2022 Conference
November 1, 2022: Dr. Melissa Quinnan gives the Fundamental Physics Directorate Seminar
at SLAC
November 1, 2022: Javier gives the Human Side of Science Lecture
at University of San Diego
November 1, 2022: Raghav presents on evaluation metrics for generative adversarial networks in
particle physics
at ML4Jets 2022
October 27-29, 2022: Russell travels to the SACNAS
National Diversity in STEM Conference in San
Juan, Puerto Rico
October 24-28, 2022: #BlackInPhysics Week!
October 23, 2022: Farouk presents a poster on the updated machine-learned particle-flow
algorithm
at ACAT 2022
October 10-14, 2022: The group travels to the CMS
ML@L1 Workshop at the Fermilab LPC!
October 10, 2022: Congratulations to Dr. Daniel Diaz for being named a 2023 LPC Distinguished Researcher!
October 7, 2022: IEEE
Spectrum writes about machine learning in particle physics
October 3-7, 2022: The group travels to the Fast
Machine Learning for Science Workshop and the A3D3
Annual Meeting at SMU! Presentations from Daniel, Rohan, Suki, Andrew, and more!
July 16-26, 2022: The group travels to the Snowmass Summer Meeting at the University of
Washington
July 4, 2022: For the 10th anniversary of the Higgs boson discovery, Nature publishes a special collection of
articles, including work from our group!
June 29, 2022: Science
News highlights Javier's recollection of the Higgs boson discovery
June 3, 2022: Javier presents at the Fermilab Wine & Cheese Seminar on enabling
Higgs coupling measurements with highly energetic Higgs pairs in CMS
April 26, 2022: Symmetry
magazine article features our group and collaborators on Higgs pair searches
April 6, 2022: MLPerf Tiny
Inference Benchmark 0.7 results include our group: FPGAs have the fastest and most efficient
(least
energy per inference) submissions
March 11, 2022: Our group's work on nonresonant high-momentum
Higgs boson pair production in CMS is featured in CERN
Courier
March 3, 2022: Congratulations to Tony Aportela for receiving a High
Energy Physics Consortium for Advanced Training (HEPCAT) Graduate Student Fellowship!
December 3, 2021: Congratulations to Raghav for receiving a Carol and George Lattimer Award for
Graduate Excellence and Zichun for recieving a Dean's Undergraduate Excellence Award from the Physical
Sciences Division for 2021-2022!
November 17, 2021: Javier gives a HEP seminar at
Columbia
University.
November 9, 2021: SDSC Voyager featured
by Intel.
October 21, 2021: Farouk and Raghav's work on MLPF and explainable AI is accepted at the Machine Learning and the Physical Sciences
Workshop at NeurIPS 2021.
October 21, 2021: Steven, Raghav, Daniel, and Suki's work on Particle Graph Autoencoders and
Differentiable Learned Energy Mover’s Distance is accepted at the Machine Learning and the Physical Sciences
Workshop at NeurIPS 2021.
September 28, 2021: Raghav's paper on Particle
Cloud
Generation with Message Passing Generative Adversarial Networks is accepted at the 35th Annual Conference on NeurIPS.
August 12, 2021: Javier gives an AI Distinguished 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
Astronomy
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.