Experience

  1. Electronic Telescope Operator

    Responsibilities include:

    • Operate an electronic telescope, aim at celestial objects, and provide explanations about the observed objects to attendees.
    • Answer relevant questions in the field of general astronomy for the general public.
    • Prepare classes and workshops on astronomy for the general public.

  2. Early Career Researcher

    Project: Data Analysis and Modeling for Complex Systems (2023-2024)

    • Led a data-driven research project that resulted in a peer-reviewed publication available in this LINK
    • Collected, cleaned, and analyzed large datasets from scientific instruments, ensuring accuracy and reliability.
    • Used Python (pandas, numpy, scipy, matplotlib) to process data, identify patterns, and generate insights.
    • Applied advanced statistical techniques, such as Monte Carlo simulations, to evaluate trends and make data-driven decisions.
    • Developed mathematical models to explain observed behaviors and predict future outcomes.
    • Created clear visualizations to communicate findings effectively.
    • Presented results at international conferences and collaborated with experts from different fields.

    Project: Automation and Optimization of Data Processing (2020-2023)

    • Led a data-driven research project that resulted in a peer- reviewed publication available in this LINK
    • Designed and implemented an automated system to process and analyze large volumes of data efficiently.
    • Developed Python scripts to streamline repetitive tasks, improving data processing speed and accuracy.
    • Used data visualization tools to present complex information in an intuitive way.
    • Ensured data quality and consistency by applying rigorous validation methods.
    • Documented processes to facilitate knowledge transfer and reproducibility.
    • Worked collaboratively with multidisciplinary teams, integrating insights from different perspectives.

  3. Math and Physics Tutor for High School Students

    Independent

    Responsibilities include:

    • Provided personalized tutoring sessions in mathematics and physics to high school students.
    • Assisted students in understanding complex concepts, improving grades, and building confidence in their academic abilities.
    • Tailored lessons to meet individual student needs, adapting approaches to suit different learning styles and knowledge levels.
    • Developed engaging lesson plans, practice exercises, and strategies for problem-solving.

Education

  1. PhD in Astrophysics

    Instituto de Astronomía, Universidad Nacional Autónoma de México

    Thesis title: Study of the Stellar Physics through infrared interferometric imaging

    During my Ph.D., I focused on the study of evolved stars known as AGBs (Asymptotic Giant Branch) using high-angular-resolution techniques. The objective of my doctoral research was to address the following questions as thoroughly as possible: 1. What mechanisms drive mass loss and the formation of asymmetric gas and dust structures in AGB stars? 2. How important is the chemical composition of the gas and dust surrounding these stars for wind formation? How does convection operate in stars other than the Sun? To this day, these questions remain unresolved. Although AGB stars are among the main contributors to the enrichment of the interstellar medium, the process by which processed material is returned to the interstellar medium remains poorly characterized.

    To tackle these questions, I obtained, reduced, and cleaned data from one of the world’s most important observatories, the VLTI. Additionally, I applied Monte Carlo methods, mathematical modeling, image visualization, and manipulation techniques. Abstract thinking, combined with analytical and critical reasoning, played a crucial role in interpreting the results obtained by my collaborators and me. This work led to publications in high-impact journals, contributing to scientific progress.

    Read my Thesis

  2. M. Sc. in Astrophysics

    Instituto de Astronomía, Universidad Nacional Autónoma de México

    Thesis title: Optimización de los algoritmos de HAWC para la búsqueda de GRBs asociados a ondas gravitacionales (thesis in Spanish)

    Located on the slopes of the Sierra Negra volcano in Puebla, the HAWC observatory (High Altitude Water Cherenkov) detects highly energetic particles, such as cosmic rays and gamma rays ranging from 100 GeV to 100 TeV, originating from the Universe’s most energetic events. Due to Earth's magnetic field and those of astrophysical objects, these particles come from different sources, making it crucial to distinguish between them.

    At very high energies (~100 TeV), HAWC efficiently differentiates these events. However, as energy approaches 100 GeV, this becomes increasingly challenging. My master’s thesis focused on developing a neural network to improve event classification at lower energies. Using key parameters from observatory simulations, the network learned to distinguish between cosmic and gamma-ray events, enhancing HAWC’s classification capabilities.

    Although time constraints prevented publication, this work deepened my understanding of neural networks and statistical techniques such as Principal Component Analysis (PCA).

    Read my Thesis

  3. B.Sc. in Physics

    Facultad de Ciencias, Universidad Nacional Autónoma de México
    GPA: 3.4/4.0
Skills & Hobbies
Technical Skills
Python
R
SQL
Statistics
Data visualization
Spreadsheets
Pivot tables
Image processing
Tableau
Operative Sistems
Windows
Linux
MacOS
Hobbies
Reading
Listening to Music
Videogames
Movies & Series
Travel
Awards
Google Data Analytics Certificate
Coursera ∙ February 2025
Through this experience, I gained an in-depth understanding of the daily practices and processes used by associate data analysts. I developed key analytical skills, including data cleaning, analysis, and visualization, while working with essential tools such as spreadsheets, SQL, R programming, and Tableau. I learned how to clean and organize data for analysis, perform calculations using spreadsheets, SQL, and R, and effectively visualize and present data findings through dashboards, presentations, and commonly used visualization platforms.
Introduction to Data Science in Python
Coursera ∙ August 2024
I studied the foundational concept of Data Science with python. By the end of the course, I was familiar with data manipulation and cleaning techniques using the python pandas data science library. I also learned about Series and DataFrames as the central data structures for data analysis. Furthermore, I also learned how to run basic inferential statistical analyses.
Languages
100%
Spanish (Native)
80%
English