Welcome to my Professional Log. This section of my website serves as a dedicated academic and technical portfolio. Here, you will find my curriculum vitae, details regarding my ongoing Master's Thesis Project, documentation of my Python programming projects, and a collection of written works.
Note: This space is strictly reserved for my professional and academic endeavors. If you are looking for more personal or relaxed contentâsuch as my weekly blog where I discuss recent scientific papers, technology news, and other topics not directly related to my thesisâplease head back to the main portal and select the Personal Hub.
Hello, and welcome to my professional log. My name is Luis A. Quiroz, and I am a data science-driven physicist and current Master's student in Astrophysics at UNAM's Astronomy and Physics Institutes. I specialize in theoretical cosmology, numerical simulations, data visualization, and the application of computational methods to complex mathematical physics problems.
Currently, I am developing my Masterâs Thesis Project (MTP), tentatively titled Effective Equation of State and Gravitational Particle Production in Inflationary Models, under the direction of Dr. Marcos A. GarcĂa GarcĂa. In this research, I write modular Python code to run numerical simulations that analyze the dynamics of inflaton and spectator fields during the reheating transition. For non-physics people, that means studying the early Universe energy fields that would become fundamental particles and could explain modern astrophysical questions like dark matter (DM) or the still-happening expansion of the space itself.
Beyond theoretical cosmology, my academic and professional trajectory heavily integrates data science (DS), machine learning (ML), and artificial intelligence (AI). My background includes specialized coursework in neural networks (NN) and AI modeling - I took Dr. Jose Antonio Vazquez Mata's course on NN as a bachelor at UNAM's Faculty of Science, I am currently revisiting Dr. Mehryar Mohri's course on Foundations of ML at New York University (NYU) and taking the Introduction to Modern AI lectures given by Dr. Zico Kolter at Carnegie Mellon University (CMU) - allowing me to apply advanced computational architectures to rigorous data sets.
I have actively applied these analytical and programming skills in industry environments. Recently, I have worked as an AI Trainer, contributing to human-in-the-loop learning pipelines and providing high-quality annotations for natural language processing (NLP) tasks. This includes direct experience with Reinforcement Learning Through Human Feedback (RLHF), refining large language model (LLM) behavior in real-time evaluations.
Effective scientific communication and interdisciplinary research are also central to my methodology. Over the years, I have cultivated a strong foundation in academic and analytical writing, authoring award-winning essays (Concursos Interpreparatorianos 2017-2019) spanning both physics and the humanities, such as Natural and Artificial Satellites and Why Study Philosophy Today?. I love a good research project!
Finally, as a polyglot with proficiency in English, German, Italian, and Portuguese, I am equipped to collaborate effectively across international and multidisciplinary teams. Whether I am modeling financial workflows, training language models, or simulating the early universe, my goal is always to leverage computational tools to extract meaningful insights from complex systems.
If for some reason you do not already have a copy of my Résumé (or CV) here you can find one.
Hope you have a wonderful day/night/whatever! And as John Lennon said at the end of The Beatles rooftop concert, I hope we passed the audition!
Advisor: Dr. Marcos A. GarcĂa GarcĂa
Institution: Institute of Physics, UNAM
The primary objective of the project is to rigorously characterise the relic abundance of a dark matter candidate produced exclusively through gravitational interaction during the transition between cosmic inflation and the inflationary reheating phase. In particular, we study the dynamical behaviour of a spectator scalar field decoupled from the inflaton sector, analysing how the coherent oscillations of the inflationary background modulate the spacetime metric and induce non-thermal particle production phenomena.
During the previous semesters, the research plan has focused on:
This is the Colab Notebook containing the results: View on Google Colab.
Throughout this period, constant meetings have been held with Dr. Marcos Alejandro GarcĂa GarcĂa. Recent discussions have focused on the following critical points:
Stack: Python
Modular code blocks designed to solve Friedmann and Klein-Gordon equations for analyzing dynamics during inflation and reheating.
Stack: Python & Excel
Automated financial calculators to model ROI, Internal Rate of Return (TIR), and amortization tables for business projections.
A collection of my academic papers, research reports, and LaTeX thesis drafts.
As a polyglot, I have authored and translated various works across multiple languages. Below is a selection of my linguistic projects.