Lucas Flores
Senior AI scientist and engineer focused on causal AI
California, United States
Summary
Bridges experimental particle physics and applied AI: trained as an experimental high-energy particle physicist (PhD, UPenn) working on ATLAS at CERN and now applies that experience to building causal AI and data-driven simulation methods for enterprise problems. inspirehep+2
Expertise in large-scale data analysis and detector/trigger performance: has worked on processing and analyzing petabytes of LHC collision data, developing electron reconstruction/identification algorithms and contributing to trigger performance studies. cern+1
Applies research-grade methods to product-focused causal AI: at Albeado focuses on researching and developing novel causal inference and counterfactual simulation approaches and leading their application for partners. albeado+1
Practical maker and hacker background: maintains a portfolio of personal projects and hackathon entries (AR, hardware interfaces, embedded ML), signaling a strong hands-on, full-stack problem-solving approach. devpost+1
Work
Education
Projects
Writing
Identifying Electrons and Searching for Electroweak R-Parity Violating Supersymmetry at ATLAS
November 28, 2021PhD thesis detailing a search for supersymmetric signatures in ATLAS data and development/optimization of electron reconstruction and identification algorithms using 13 TeV proton-proton collision data.
The Large Google Maps Collider (blog post)
April 5, 2021Long-form blog post describing a playful web-based project that maps LHC concepts onto Google Maps.
The ATLAS Electron and Photon Trigger
August 1, 2019Presentation on ATLAS electron and photon trigger performance during Run 2 (2015–2018) and preparations for higher luminosity conditions.