CV

Presented an online charge-jump detector for superconducting qubits, deployed in-the-loop on FPGA firmware via hls4ml.

Presented a quantized recurrent probabilistic neural network deployed on FPGA as an online state estimator for real-time tokamak control, meeting plasma control system latency requirements.

Invited seminar on real-time machine learning solutions for quantum computing and nuclear fusion experiments.

Presented a search for four top quark production in the all-hadronic final state using 200 fb^-1 of proton-proton collision data collected by CMS during Run 2 and Run 3 of the LHC.

Presented the first application of a one-pass, fully ML-based imaging calorimeter reconstruction to the latest full CMS HGCal simulation.

Selective scholarship granted by the government of the state of Sonora, México to outstanding Sonoran students pursuing graduate studies abroad.

Monetary research grant to fund research at Fermi National Lab; awarded to develop MaskFormers for particle reconstruction at the CMS experiment at CERN.

Travel award granted to present research at the 28th Conference on Computing in High Energy Physics (CHEP) in Bangkok, Thailand.

Monetary research grant for CMS scientists that collaborate with other LHC Physics Center users on projects that advance, enrich, & impact the interests of the CMS experiment from a hardware and/or software perspective; granted to continue the development of MaskFormers for particle reconstruction at the CMS experiment at CERN.

Monetary research grant to fund research at Fermi National Lab; awarded to collaborate with Fermilab scientists on the development of GNNs and Transformer models for particle reconstruction at the CMS experiment at CERN.

Monetary research grant for CMS scientists that collaborate with other LHC Physics Center users on projects that advance, enrich, & impact the interests of the CMS experiment from a hardware and/or software perspective.

Honorable Mention granted in the essay category for the work titled "The ambivalent ignorance in the arts and sciences"; national writing competition to promote the vocation for science and technology among Mexico's youth.

Monetary research grant for collaborating in the research project "Study of heavy quark production in high multiplicity pp and pPb collisions in the CMS experiment at the LHC", led by Phd Lizardo Valencia at the University of Sonora.

Financial and equipment aid for outstanding Mexican undergraduate students.

Selective summer school on the intersection of AI and fundamental physics; lectures and hands-on tutorials on symbolic regression, diffusion models, computer vision and simulation-based inference, followed by a collaborative hackathon project.

Hands-on training on cutting edge machine learning methods in HEP by combining extensive advanced courses with extended tutorial sessions, organized by various CERN-affiliated institutions.

Program designed to form graduate students with the necessary pedagogy skills needed to become a successful faculty, equipping them with the conceptual & technological tools required to thrive in the XXIst century classroom.

Machine Learning Hackathon held by Compact Muon Solenoid (CMS) experiment scientists aimed to design robust and interpretable machine learning algorithms for anomaly detection, as well as provide fast, resource efficient & highly automated tools for data monitoring and validation.

Data Analysis School held by Compact Muon Solenoid (CMS) scientists designed to help CMS physicists from across the collaboration to learn about CMS data analysis and enable them to participate in significant ways in any physics analysis, including cutting-edge measurements and future discoveries; awarded Best Analysis for Best Student-led Analysis.

Facilitated the Missing Transverse Momentum session and helped lead a short analysis project for B* → TW searches; introduced graduate students to the CMS Software used for physics analyses in the collaboration.

Scientific outreach event aimed to promote and share the latest advancements in Astronomy and High Energy Physics to the general public; presented and explained examples of the latest AI applications in particle physics.

Presentation given to physics undergrads about my experience in the data industry as a physicist, focusing on my technical preparation, my job-hunting process and my work experience.

Scientific outreach event aimed to promote and inspire scientific curiosity on children; presented and explained a variety of physics experiments to elementary school children.

Scientific outreach presentation about the various data science applications in experimental HEP to undergrads of the University of Sonora and the general public.