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Jesús Rueda-Becerril, Ph.D.

Jesús Rueda-Becerril, Ph.D.


Open to work | Seattle, WA


My Portfolio Highlights

My New Track

Data Analyst

My New Workspace

Sleep Health and Lifestyle

My New Workspace

What's in an Avocado Toast: A Supply Chain Analysis

Computational Astrophysicist, exploring the infinite universe of data and solving its mysteries.

My Work

Take a look at my latest work.


Blazar jets launched with similar energy per baryon, independently of their power


Balancing turbulent heating with radiative cooling in blazars


A Visual History of Nobel Prize Winners


Predictive Modeling for Agriculture


Project: Hypothesis Testing with Men's and Women's Soccer Matches


Project: Analyzing Students' Mental Health


DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Paychex | Apr 2022 - Jan 2024

Software Engineer

- Member of a Scrum team, following the Agile methodology using Jira - Developing PL/SQL queries and scripts as part of a migrating project between Oracle EBS and Enterprise - Collaborating on developing, and deploying Spring boot services in Java to transfer data with Kafka - Developing unit tests and integration automated tests for these services - Using Jenkins automation server, Docker and Podman containers, and OpenShift orchestration tool - Continuously communicating with stakeholders to ensure developers efforts are aligned with requirements and standards
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Rochester Institute of Technology | Feb 2021 - Apr 2022

Postdoctoral Research Assistant

- Led a team of researchers on a NSF-sponsored project and successfully upgraded the C code PatchworkMHD code to perform HPC simulations of supermassive black hole binaries. - Designed the experiments and successfully validated state-of-the-art mathematic and numerical algorithms implemented in PatchworkMHD code by running simulations at Frontera supercomputer (TACC, UT at Austin). - Worked in a detail-oriented manner to successfully benchmark and identify performance optimization opportunities of PatchworkMHD. - Worked closely with researchers in a highly collaborative environment with multi-institutional, cross-functional teams developing large-scale HPC simulations of neutron star mergers. This collaboration produced 2 papers with high impact results.

Purdue University | Oct 2018 - Oct 2020

Postdoctoral Research Fellow

- Successfully applied and obtained a $68,000 NASA grant for one year as primary researcher to develop the open-source code, Paramo, in Fortran with state-of-the-art mathematical and numerical methods to perform radiative transfer simulations in relativistic astrophysics scenarios. - Managed 3 Ph.D. researchers to study the nature of radiation from active galaxies with . - This work produced 3 papers and 2 proceedings with high impact results, and multiple presentations to technical and non-technical audiences. - Designed the experiments to proof a hypothesis about the origin and nature of radiation from active galaxies. - Used Python to implement data science approaches on observations from NASA telescopes. - Collaborated with a group of multidisciplinary scientists to develop Python scripts for statistical modeling and forecasting the COVID-19 outbreak in Mexico, and helped create scientific infographics and blog posts for non-technical Spanish-speaking populations to reduce the spread of misinformation.

Universidad Michoacana de San Nicolás de Hidalgo | Jan 2018 - Oct 2018

Postdoctoral Research Fellow

- Used Python for an open-source data analysis and visualization tool to provide any researcher/user with accessible tools to calculate radiative transfer phenomena (spectra and light-curves) in relativistic astrophysics. - Conducted a workshop to train and share knowledge with graduate students on creating and manipulating high-volume datasets in HDF5 format. - Developed a Python tool to process images for a machine learning model (SVM) training framework.

University of Valencia | Oct 2011 - Sep 2017

Graduate Research Assistant

- Used Shell and Python for automation and build pipelines for processing, and transforming high volumes of datasets from large-scale simulations, ensuring data quality and integrity for downstream analysis. - Implemented sophisticated numerical tools (e.g., trapezoidal rule and method of lines) and data handling (e.g., interpolation tables and Chebychev interpolation) to calculate both discrete and continuous spectra from particle distribution functions with arbitrary shape, without impacting simulation runtime. - Used Python to perform exploratory data analysis on datasets from NASA Fermi-LAT telescope and from the Very Large Baseline Array (VLBA) of the National Radio Astronomy Observatory (NRAO), and build non-linear regression, pattern recognition, and forecasting. - Communicated these results in multiple international meetings and through 2 publications.

Universidad Michoacana de San Nicolás de Hidalgo | Sep 2009 - Aug 2011

Graduate Research Assistant

- Implemented a Newtonian and relativistic smoothed-particle hydrodynamics (SPH) codes. - Successfully wrote a scientific code using a fourth order Runge-Kutta solver to study the behavior of light near black holes. This work produced one paper with high impact results.

My Education

Take a look at my formal education

PhD, Astronomy and Astrophysics in PhysicsUniversitat de València | 2017
MSc, Physics in PhysicsUniversidad Michoacana de San Nicolás de Hidalgo | 2011
Bachelor of Science (BSc), Physics in PhysicsUniversidad Autónoma del Estado de México | 2008

About Me

Jesús Rueda-Becerril, Ph.D.

Astrophysicist with experience in industry. I have a strong foundation in data analysis, statistical modeling, and a passion for exploring the mysteries of the universe.

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