About Me

I am a data scientist passionate about solving complex problems at the intersection of physics, computation, and real-world data. My journey bridges astrophysics, software developing, and geospatial data, 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.

Selected Skills

• Data science & machine learning
• Computational modeling & simulation
• Data analysis & visualization
• Geospatial analysis
• Scientific communication

Resume

• Resume (PDF)
• Full CV (PDF)

Education

• 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)

Professional Experience

Spatial Data Scientist — Tealwaters, Seattle, WA, 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.

Open-Source Developer — Independent Research, Seattle, WA, USA (Jan 2024 - May 2025)

• Tleco
  • Simulates relativistic plasma particles and radiation rise from accelerating particles.
  • Combines Rust and Python functions from the Fortran code Paramo.
• WindsOfChange
  • Simulate spore dispersion in hilly terrains using R and C++.

Software Engineer — Paychex, Rochester, NY, 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 — Rochester Institute of Technology, Rochester, NY, 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.
• Simulated supermassive black hole binaries, accretion disk dynamics, and jet formation using Harm3D and PatchworkMHD.

Postdoctoral Research Fellow — Purdue University, West Lafayette, IN, USA (Oct 2018 - Nov 2020)

Postdoctoral Research Fellow — Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Mich., Mexico (Jan - Sep 2018)

Technical Skills

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

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
• Nahuatl: basic knowledge
• Catalan: basic knowledge

Contact

• Email
• LinkedIn
• ResearchGate
• GitHub
• ORCID