About Me

I am Jesús M. Rueda-Becerril, Ph.D., a computational astrophysicist and data scientist passionate about solving complex problems at the intersection of physics, computation, and real-world data. My journey bridges astrophysics and ecological modeling, applying remote sensing and geospatial analysis to better understand and help restore wetland systems. I specialize in high-performance computing, statistical modeling, and machine learning, with a cross-disciplinary approach to modeling complex systems—from extragalactic jets to wetland ecosystems. Growing up in the highlands of central Mexico, I developed a deep appreciation for natural landscapes, which fuels my applied research at the intersection of physics, computation, and ecology.

Contact

• Email: jm.ruebe@gmail.com
• LinkedIn
• ResearchGate
• GitHub
• ORCID

Resume

• Resume (PDF)
• Full CV (en)
• CV completo (es)

Academic Background

• Ph.D. in Physics — Universitat de València, Spain (2017, Cum Laude). Advisors: Prof. Miguel A. Aloy & Dr. Petar Mimica. Thesis
• M.Sc. in Physics — Universidad Michoacana de San Nicolás de Hidalgo, Mexico (2011)
• B.Sc. in Physics — Universidad Autónoma del Estado de México, Mexico (2009)

Research & Professional Experience

• Spatial Data Scientist — Tealwaters, USA (May 2025–Present)
  • Lead the development and refinement of tools like the Wetland Intrinsic Potential (WIP) model, integrating geomorphic and hydrologic indicators to map wetlands.
  • Apply remote sensing and geospatial analysis to ecological modeling, focusing on wetland restoration and environmental impact.
  • Bridge astrophysics and environmental science by leveraging expertise in high-performance computing, statistical modeling, and machine learning to analyze complex environmental datasets.
• Software Engineer — Paychex, USA (Apr 2022–Jan 2024)
  • Developed and maintained internal tools using Java, Python, and SQL.
  • Collaborated with cross-functional teams to automate workflows and improve data pipelines.
• Postdoctoral Research Associate — Purdue University, USA (Feb 2021–Apr 2022)
  • Modeled particle acceleration and high-energy radiation in relativistic outflows using the Fortran code Paramo.
  • Investigated plasma processes such as magnetic reconnection, shocks, and turbulence.
• Postdoctoral Research Fellow — Purdue University, USA (Oct 2018–Nov 2020)
• Postdoctoral Research Fellow — Universidad Michoacana de San Nicolás de Hidalgo, Mexico (Jan–Sep 2018)
• Postdoctoral Research Assistant — RIT, USA (2016–2017)
  • Simulated supermassive black hole binaries, accretion disk dynamics, and jet formation using Harm3D and PatchworkMHD.

Technical Skills

• Programming Languages: Fortran, Python, Shell, C/C++, R, Julia, SQL (PL/SQL, PostgreSQL), Rust, Java, MongoDB
• Python Ecosystem: Numpy, Pandas, Matplotlib, Scipy, Astropy, Scikit-learn, Tensorflow, PyTorch, Pytest, Jupyter
• Miscellaneous: Git (GitHub, Bitbucket), LaTeX, MPI, OpenMP, OpenACC, HDF5, Mathematica, Maple, Docker, Jenkins, Splunk, Jira, Kafka, Visit, Paraview, Job Scheduling (SLURM, PBS)

Selected Skills

• Computational modeling & simulation
• Data analysis & visualization
• Geospatial analysis (GIS)
• Scientific communication

Publications

• ADS
• arXiv
• Google Scholar

Personal Interests

Beyond astrophysics, science, and computers, I love hiking and climbing—mountains are my favorite place to be. I am also a dinosaur enthusiast and enjoy learning about these fascinating, extinct creatures.

Languages

• Spanish: native proficiency
• English: full professional proficiency