cv
Basics
| Name | Alejandro Gomez Espinosa |
| Label | Experimental Particle Physicist |
| alejandro.gomez@cern.ch | |
| Url | https://alefisico.github.io/ |
| Summary | Ecuadorian, experimental particle physicist, currently working for Carnegie Mellon University at the CMS Experiment at CERN. My area of expertise is in particles decaying hadronically. I am interested in searches with jets and di-Higgs searches. I am also interested in workflow orchestration and continuous integration tools. |
Work
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2023.010 - Present Postdoctoral Research Associate
Carnegie Mellon University
Studying the self-interaction of the Higgs boson in the di-Higgs production channel. Research focuses on the four b-quark decay channel and is expanding to improve current studies in the bbWW channel. Additionally, working on workflow orchestration tools and analysis reproducibility. Advocating for the adoption of modern programming practices, including continuous integration (CI), extensive use of unit tests, and regular result replication using Snakemake and REANA
- Di-Higgs self-interaction
- Four b-quark decay channel
- Workflow orchestration
- Continuous integration
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2018.04 - 2023.10 Postdoctoral Researcher
Institute for Particle and Astrophysics, ETH-Zurich
Lead the measurements for the ttH production in the H(bb) channel using Run II data from CMS, particularly in the boosted regime. Additionally leading the measurements of jet substructure observables in different high transverse momentum jet environments. Moreover, I have significant contributions in commissioning and calibration of boosted taggers for heavy resonances and pileup mitigation techniques at high trigger level for Run III
- ttHbb measurement
- Jet substructure measurements
- Boosted taggers commissioning
- Pileup mitigation techniques
Education
Certificates
| Enologist | ||
| Euroinnova Business School | 2024-01-20 |
| Google Data Analytics Professional Certificate | ||
| Coursera, Google | 2022-03-01 |
| Deep Learning | ||
| Coursera, DeepLearning AI | 2022-01-20 |
| Sport Performance Analytics Specialization | ||
| Coursera, University of Michigan | 2021-09-01 |
Skills
| Computing Languages | |
| Python | |
| Git, Gitlab CI/CD | |
| Snakemake | |
| Data Analysis | |
| Statistical Data Analysis |
Languages
| Spanish | |
| Native speaker |
| English | |
| Fluent |
Interests
| Physics | |
| Jet Physics | |
| Di-Higgs Physics | |
| Reproducibility | |
| Workflow Orchestration |