cv

Basics

Name Alejandro Gomez Espinosa
Label Research Physicist & FNAL LPC Junior Distinguished Researcher
Email alejandro.gomez@cern.ch
Url https://alefisico.github.io/
Summary Experimental high-energy physicist specializing in Higgs physics, machine learning applications, and advanced reconstruction algorithms within the CMS Collaboration. Leading ttH(bb) and di-Higgs searches as well as workflow preservation initiatives at Carnegie Mellon University.

Work

  • 2026.10 - Present

    Pittsburgh, USA

    Research Physicist
    Carnegie Mellon University
    Leading CMS Run 3 inclusive ttH(bb) and di-Higgs searches, machine learning developments, and scalable multi-backend workflows.
    • Leading the CMS Run 3 inclusive ttH(bb) analysis, spearheading a modernized strategy that substantially outperforms previous measurements.
    • Co-leading CMS Run 3 di-Higgs (HH) searches in the bbbb and bbWW channels; pioneered low-pT jet strategies boosting overall HH -> bbbb sensitivity by 10% and HH -> bbWW sensitivity by ~20%.
    • Developing machine learning algorithms to enhance signal classification and improve background modeling via out-of-sample density ratio estimation.
    • Co-supervising Ph.D. and Master's students on di-Higgs searches, inclusive ttH(bb) measurements, and machine learning applications.
    • Architecting scalable Snakemake workflows and CI/CD pipelines executing across Slurm, Kubernetes, and HTCondor backends.
    • Administering the local CMU physics computing cluster (GPU hardware, Slurm scheduling, and software environments).
  • 2023.10 - 2026.09

    Pittsburgh, USA

    Postdoctoral Research Associate
    Carnegie Mellon University
    Co-led the CMS Run 2 di-Higgs to 4b analysis group, served as CMS Workflow Orchestration Convener, and established analysis preservation infrastructure.
    • Served as CMS Workflow Orchestration and Analysis Preservation Group Convener (Sept 2024 -- Sept 2026), establishing tutorials and standards adopted community-wide.
    • Co-led the CMS Run 2 di-Higgs to four b-quark (bbbb) analysis group, improving sensitivity by 30% using data-driven background estimations and synthetic datasets.
    • Fully preserved the Run 2 analysis workflow (120+ jobs) using Snakemake and REANA.
    • Designed and deployed multiple CI/CD pipelines (up to 50+ jobs) for automated software validation.
    • Administered the local group computing cluster (Slurm queues, GPU nodes) and instructed CMS-wide workflow training sessions.
  • 2022.10 - 2023.09

    Zurich, Switzerland

    Visitor Researcher
    ETH Zurich
    Automating validation and finalizing jet substructure studies.
    • Developed continuous integration pipelines to automate jet substructure software validation.
    • Finalized measurements of jet substructure observables in high transverse momentum environments.
  • 2018.04 - 2022.09

    Zurich, Switzerland

    Postdoctoral Researcher
    ETH Zurich
    Higgs measurements in the boosted regime and jet substructure leadership.
    • Key contributor to the Higgs boson measurement in the ttH(bb) channel (boosted regime).
    • Led jet substructure measurements in different high transverse momentum jet topologies.
    • Supervised and mentored graduate and undergraduate students on jet and heavy-flavour identification.
    • Contributed to commissioning boosted taggers and pileup mitigation for Run 3.
  • 2013.06 - 2018.03

    New Brunswick, USA

    Graduate Research Assistant
    Rutgers University
    Search for pair-produced dijet resonances and trigger development.
    • Primary analyst for search of pair-produced dijet resonances using jet substructure techniques.
    • Designed and implemented the first CMS jet substructure triggers.
    • Supervised and mentored undergraduate, high school, and REU student projects.

Education

  • 2012.09 - 2018.05

    New Brunswick, NJ, USA

    Ph.D.
    Rutgers, The State University of New Jersey
    Experimental High Energy Physics
  • 2006.09 - 2012.08

    Quito, Ecuador

    B.Sc.
    Escuela Politecnica Nacional
    Physics

Awards

Certificates

Deep Learning Specialization
Coursera, DeepLearning.AI 2022-01-20
Specialization in Enology (Winemaking)
Euroinnova Business School 2022-01-01
Sport Performance Analytics Specialization
Coursera, University of Michigan 2021-09-01

Skills

Programming Languages
Python
C++
Bash
SQL
R
LaTeX
Tools & Technologies
Git / GitLab CI/CD
Docker
Kubernetes
Snakemake
REANA
Jupyter Notebooks
Pandas / NumPy / Scikit-learn
Research & Methods
Experimental High-Energy Physics
Data Analysis & Visualisation
Machine Learning
Workflow Orchestration & Reproducibility

Languages

Spanish
Native speaker
English
Fluent
German
Basic
Italian
Basic
French
Basic

Interests

Physics & Computing
Higgs & Jet Physics
Workflow Preservation
Analysis Reproducibility