Alexander Sarango

ABOUT ME

I'm a dedicated graduate student with a strong interest in Astrophysics and Cosmology. During my undergraduate years, I discovered a deep passion for computational and theoretical physics. I like to connect the theoretical elegance of nature phenomena with cutting-edge computational frameworks. I culminated my bachelor's degree with my thesis research on gravastars, an alternative theory with the aim of solving the problems of classical black holes (you can read more about this here). You can feel free to explore and learn what I do and what I'm interested in.

My interests in physics are: black holes in general relativity, gravastars, dark matter, quantum mechanics, holographic principle.

My interests in computer science are: machine learning, artificial intelligent, big data, data science.

Download CV

RESEARCH

Undergraduate Thesis: Gravastar Model with Vanishing Complexity

The goal of this research was to develop a new gravastar model with vanishing complexity, a condition useful for the study of complex stellar objects. To achieve this, the methodology employed consisted of using extended minimal geometric deformation approach under the gravitational decoupling framework. Through this methodology, a new gravastar solution was obtained and it was demonstrated that this new solution satisfies the necessary conditions to be considered a physically acceptable solution.

Thesis Thesis Slides

GEAA - ESPOCH

Research Assistant

My activities carried out at the GEAA - ESPOCH as research assistant, focusing on implementing a dynamic clustering algorithm in Python using K-Means algorithm. Dynamic clustering offers advantages over traditional methods in identifying climate patterns. The work included literature review on climate models, clustering algorithms, and dimensionality reduction techniques (PCA/EOF), followed by practical implementation using random data. Results showed the effectiveness of dynamic clustering on precipitation and temperature data from the CNRM and CMIP6 models.

OUTREACH

Courses

- Introduction to LaTeX (Spanish) (material)

Talks

- "Gravastar model with vanishing complexity" at the III Symposium on Theoretical and Computational Physics (Poster)
- "Gravastars, the missing piece of the cosmic puzzle?" at the Scientific Coffee (Slides)

Workshops

- "GitHub for Team Collaboration" with the Club de Física Emmy Noether
- "Quantum Machine Learning with Qiskit" at the Qiskit Fall Fest 2025 ESPOCH