CV

A detailed description of my profile with all my experience, education, and hobbies.

Basics

Name Sebastián Aguilera Novoa
Label Physicist - Professor - Problem Solver
Email saguileran@ime.usp.br
Phone (+57) 21 995353787
Url https://saguileran.github.io/
Github https://github.com/saguileran/
Linkedin https://linkedin.com/in/saguileran/
Summary A Colombian physicist interested in computational physics, numerical methods, and deep learning ideas and algorithms applied to bioacoustics.

Work

  • 2024.09 - 2025.03

    Remote

    Junior Python Developer - Prompt Engineering
    AI GENERATIVE S.A.S. – AIGEN S.A.S.
    Utilizing text-to-image models to generate digital media content for social media, featuring fictional characters or non-real personas.
    • Python Programmer
    • Prompt Engineering
  • 2024.03 - 2024.12

    Bogotá D.C., Colombia

    Systems Engineering Professor
    Escuela Tecnológica Instituto Técnico Central (ETITC)
    Teaching Java programming (both backend and frontend), databases, operating systems, software design, and data structures to systems engineering university students.
    • Java Programming
    • Databases
    • Data Structures
    • Software Design
  • 2024.03 - 2025.03

    Remote

    Junior Python Developer - Prompt Engineering
    MarBAI
    Create, deploy, and evaluate intelligent agents using Python and REST APIs to generate digital content for social media.
    • Python Programmer
    • Prompt Engineering
  • 2023.05 - 2023.08

    Colombia

    Particular Professor
    Ingresar a la U
    Teach mathematics and physics in a preparatory course for the state exam Saber 11, administered by ICFES in Colombia. In this role, I educated a diverse group of students from various regions, both rural and urban, utilizing PhET simulations to enhance their learning experience.
    • Teaching Mathematics and Physics
    • Dynamic and Funny Lessons
  • 2023.02 - 2023.04

    Sao Carlos, Brazil

    Undegraduate Intership for Biological Research
    São Carlos Institute of Physics, Universty of Sao Paulo (USP)
    Set up and contrast Monte Carlo (MC) and molecular dynamics (MD) simulations of a protein-ligand system to generate structured data (positions, velocities, RMS, etc). In addition, analyze the structured data generated by the MC and MD simulations using Markov model algorithms (lag-time, hiden markov chains, etc).
    • Molecular Dynamics (MD)
    • Monte Carlo (MC) simulations
    • LIBELA
    • Certificate
  • 2021.06 - 2023.08

    Delaware, EEUU

    Summer Short Term Scholar
    Electrical & Computer Engineering, University of Delaware (UD)
    Analyze and visualize long raw audio data using digital signal processing and Matlab, 2-week continuous records from a microphone in a the Delaware Bay river.
    • Digital Signal Processing (DSP)
    • Sound Characterization
    • Matlab
    • Certificate

Education

  • 2025 - 2026

    São Paulo, Brazil

    Magister in Computer Science (M.S.)
    University of Sao Paulo (USP)
    Institue of Mathematics, Stadistics, and Computer Science (IME)
    • Numerical Methods
    • Physical Modeling
    • Bioacoustics
    • DSP
  • 2015 - 2023

    Bogotá D.C., Colombia

    Bachelor of Science in Physics (B.S.)
    National University of Colombia
    Physics Department
    • Numerical Methods
    • Numerical Optimization
    • Acoustics
    • Advanced Simulation Methods for Physicist
    • Grade Point Average (GPA): 4/5
  • 2012 - 2013

    Bogotá D.C., Colombia

    Technician
    Servicio Nacional de Aprendizaje (SENA)
    Center for Electricity, Electronics and Telecommunications
    • Residential Electricity
    • Microcontrollers
    • Digital and Power Electronics

Awards

Certificates

Publications

  • 2022
    Design, development, and evaluation of a computational physical model to generate synthetic birdsongs from recorded samples
    Physics Department, National University of Colombia
    In this study, we introduce a physical-computational model designed to automate the generation of birdsongs from recorded samples. By integrating concepts from numerical analysis, signal processing, and numerical optimization, we formulate the problem as a minimization task to identify optimal parameters that accurately replicate the tempo-spectral features of original birdsongs. Our model undergoes extensive testing and evaluation, primarily focusing on the Rufous-collared Sparrow songs, achieving impressive results with relative errors in fundamental frequency below 2%. Additionally, we evaluate the model on the Ocellated Tapaculo and Mimus Gilvus species, known for their simpler songs. The results demonstrate the model’s robustness and versatility. To showcase its capabilities, we generate multiple syllables from a single recording, highlighting the model’s potential as a highly effective data augmentation technique for birdsongs. This novel approach addresses the challenge of data scarcity in birdsong analysis, contributing significantly to various fields such as biology, neuroscience, computer science, and ecology.

Skills

Basic
Arduino
SQL/Workbench
Eclipse, Netbeans
AWS, Google Cloud, Firebase
Intermediate
JS, HTML, CSS
Julia, C++, Java
Mathematica, Power BI
SSH, Github
Canva, Krita
Advanced
Python, Matlab
Latex, Office, Markdown
Jupyter-Notebook/Lab
Linux, Windows, VSC
Moodle LMS

Languages

Spanish
Native speaker
English
Fluent
Portuguese
Intermediate
German
A few words.

Interests

Physics
Acoustics
Bioacoustics
Physical Simulations
Sound Production
Teaching
Dynamical Systems
Computer Science
Digital Signal Processing
Data Science and Analytics
Deep Learning
Numerical Methods
Optimization
PDEs and ODEs
Hobbies
Travel ✈️, Ride Bike 🚲
Listenning Music 🎧
Recording Birdsongs 🐦‍⬛🎙️
Cinema 🎥, Concerts 🏟️,
Soccer Tennis ⚽
Beer 🍺, Wine 🍷

References

  Prof. Francisco Gómez J.
  National University of Colombia (UNAL)
  fagomezj@unal.edu.co
Engineer and associate professor in the Mathematics Department at the National University of Colombia, Bogotá D.C. His research focuses on computer science and applied mathematics, with interests in computational sustainability, brain imaging, computational ecology, and AI agents. He works on projects in collaboration with the private and public sectors.
  Magister Jonnatan Pereira Betancur
  National University of Colombia (UNAL)
  jjpereirab@unal.edu.co
Resourceful physicist and programmer from UNAL with extensive experience in data analysis, experimental particle physics, and computational modeling. His research focuses on high energy physics, CP symmetry studies in B± decays using LHCb experiment data, and natural language processing applications. Proficient in C++, Python, CERN-ROOT framework, and cloud platforms.
  Prof. Marcelo Gomes de Queiroz
  University of Sao Paulo (USP)
  mqz@ime.usp.br
Computer scientist and associate professor at the Institute of Mathematics, Statistics, and Computer Science (IME) at the University of São Paulo (USP), Brazil. His research interests are in computational music, encompassing topics such as numerical methods, optimization, DSP, musical instrument simulation, and AI for music.
  Prof. Gabriel Mindlin
  University of Buenos Aires (UBA)
  gabo@df.uba.ar
Physicist and associate professor at the Universidad de Buenos Aires (UBA), Argentina. Gabriel is leader of the Dynamic System Laboratory (LSD) which is a pioneering laboratory in the Physics/Biology interdiscipline, furthermore, it has produced high impact publications and patents. He is mainly interested in dynamics and biophysics.

Projects

  • 2025 - 2027
    WaveSongs
    A python package to analyze, visualize and generate synthetic birdsongs.
    • Sound Produciton
    • Syrinx
    • Birdsongs
    • Digital Signal Processing
    • Open Source
  • 2022 - 2025
    Birdsongs
    A python package to analyze, visualize and generate synthetic birdsongs.
    • Sound Produciton
    • Syrinx
    • Birdsongs
    • Numerical Optimization
    • Signal Processing
    • Open Source
  • 2023.02 - 2023.04
    Molecular modeling and simulations
    Study and evaluation of the unbinding kinetics of Mineralocorticoid (MR and MR-S810L) receptor steroid agonist Cortisol (COL), Aldosterone (AS4), and Progesterone (STR) ligands using Molecular Dynamics (MD) and Monte Carlo (MC) simulations, LiGaMD and LiBELa softwares respectively.
    • Molecular Dynamics
    • Monte Carlo Simulations
    • Open Source
  • 2023.02 - 2023.04
    Soundscapes analysis - maad
    Create code, examples, and documentation of spectral and time trait functions.
    • Digital Signal Processing (DSP)
    • Python
  • 2019 - 2022
    Aprender - A New Way of Learning
    A course preparatory of physics and mathematics for the exam Saber 11 applied by ICFES. I designed, created and hosted a homepage for the preparatory. For the webpage I implemented the Moodle platform as a Learning Management Platform. Furthermore, I teach mathematics and physics, I designed and created of lessons and tests for evaluation.
    • Teaching Mathematics and Physics
    • Full bStack Web Developer
  • 2020 - 2020
    Recorder Characterization
    Study the recorder musical instrument from experimental, theoretical, and computational physics. Addionally, analyze and visualize the structured data generated and measured from the study in order to compare them.
    • Acoustics of Musical Instruments
    • Sound Recording
    • Lattice Boltzmann Simulations