About Me

I am a computational scientist bridging astrophysics, high-performance computing, and artificial intelligence to tackle critical challenges in energy, environment, and public health. My research develops cutting-edge algorithms for time series forecasting, image processing, and Bayesian inference—with applications spanning electricity demand prediction, river level forecasting, dengue outbreak modeling, and medical diagnostics.

I currently lead multidisciplinary research as a Full-Time Researcher at the Faculty of Engineering, National University of Asunción (FIUNA), where I direct projects in space weather monitoring, bioengineering testing, and AI applications for disease control. I serve as Academic Coordinator for the Master's Program in Artificial Intelligence Sciences and as an Assistant Professor teaching C/C++ Programming, Artificial Intelligence, and High-Performance Computing.

A key focus of my recent work is vector-borne disease modeling, where I lead projects funded by the Wellcome Trust (WolBloc) and BIO CIVIP, developing data-driven models to understand mosquito population dynamics and predict dengue outbreaks using agent-based simulations and deep learning. I also contribute to particle physics as a member of the DUNE collaboration, working on neutrino interaction reconstruction and detector simulation, and to space weather research through muon detector deployments at the South Atlantic Magnetic Anomaly.

My academic journey began with a Ph.D. at the National Institute for Space Research (INPE), where my research focused on Bayesian Surface Photometry Analysis and environmental effects on galaxies. I completed my Ph.D. in 2017 under the supervision of Reinaldo R. Rosa and Reinaldo R. Carvalho, with a visiting period at the Institut d'Astrophysique de Paris (IAP) advised by Dr. Gary Mamon. Prior to my doctoral studies, I obtained a Master's degree in Applied Computing at INPE developing a GPU-accelerated N-Body simulator for Computational Cosmology. I earned my B.S. in Electronic Engineering from the National University of Asunción (UNA) with a thesis on optimal boundary control algorithms for cooling electronic circuits.

In my spare time: I love cooking, riding bicycles, and traveling with my wife Mariam and our son Alex :)

Teaching

1. Engineering School (FIUNA) - Python, C++ Programming (2018–Present)
2. Engineering School (FIUNA) - Artificial Intelligence for Mechatronic Engineering (2019–Present)
3. Engineering School (FIUNA) - Physics: Light, Wave-Duality, Optics (2018)
4. Master's Program in Artificial Intelligence - Academic Coordinator & Faculty (2022–Present)
5. Graduate Program in Computer Science (FPUNA) - Numerical Methods, GPU Computing, Statistical Methods (2017–2018)

Publications

Latest Publications - Google Scholar
Most Cited - Google Scholar

Selected Recent Publications (2024–2026):

  • Air quality dataset of particulate matter PM2.5 & PM10 from the monitoring network in Asuncion metropolitan area, Paraguay – Data in Brief, 2026
  • Quiescence and its Effects in the Aedes aegypti Population – CNMAC, 2026
  • Spatio-Temporal Analysis of Mosquito Populations: Agent-Based Simulation – CNMAC, 2026
  • Measurement of Forbush Decrease Events at the South Atlantic Magnetic Anomaly – Space Weather, 2025
  • Search for millicharged particles with 1 kg of Skipper-CCDs – JHEP, 2024
  • DUNE Phase II: scientific opportunities, detector concepts, technological solutions – JINST, 2024
  • Machine learning for electric energy consumption forecasting: Application to the Paraguayan system – Logic Journal of IGPL, 2024
  • GRU-Based Prediction of Paraguay River Levels using Hydro-meteorological Co-variates – CLEI, 2025
  • Towards Real-Time Mosquito Counting Using YOLO Models and Knowledge Distillation – CLEI, 2025

Research Projects

WolBloc: Sustainable Dengue Control

2024–Present
Wellcome Trust | Mathematical Modeling & Mosquito Population Dynamics

DUNE Collaboration – Neutrino Physics

2022–Present
Deep Underground Neutrino Experiment – Neutrino Reconstruction & Detector Simulation
Cemaden | AI for Hydrological Risk Prediction

Space Weather Monitoring – Muon Detectors

2022–Present
South Atlantic Magnetic Anomaly | Forbush Decrease Measurements

CONNIE Experiment – Millicharged Particle Search

2019–Present
Skipper-CCD Detectors | Muon Tracking with Deep Learning

Portable ECG Monitoring Device

2022–2023
Startup: BPSTEC | R-Peak Detection & Cardiac Anomaly Classification

Testing Laboratory for National Medical Devices

2021–2022
PINV352 | Video

GuaraniSat-1 & MUA Mission

2018–2020
Paraguay Space Agency | Ground Station & Attitude Control Systems

Bayesian Surface Photometry with GALPHAT

2014–2019
Collaboration with Reinaldo R. Carvalho, Martin Weinberg

GPU N-Body Simulator for Cosmology

2012–2013
INPE | Massive Parallel Particle-Particle Simulations

Students Supervised

In Progress
Santiago Ferreyra – Muon Track Reconstruction (Mechatronics)
Diego Amarilla Fariña – Cardiac Anomaly Detection with Deep Learning (Mechatronics)
Sergio Marin – Regularization of Deep Learning Models for Electricity Demand (Electromechanical)
Alejandro Reckziegel (M.Sc.) – Data-Driven Models for Mosquito Populations (Co-advisor)
Juan Vicente Bogado (Ph.D.) – AI for Dengue Forecasting (Co-advisor)
Completed
Christian Paniagua – Low-Cost Geomagnetic Field Station (Electronics)
Ivan Gonzalez Orue – Automatic Solar Radio Burst Detection (Mechatronics)
Hans Mersch – Energy Demand Profile Characterization (Mechatronics)
Alejandro Reckziegel – GTEM Cell Characterization (Electronics)
Maria Giohana Martinez – Time Series Clustering (Mechatronics)
Juan Vicente Bogado (M.Sc.) – Deep Learning for Dengue Forecasting (FPUNA)
Lucas & José Moreira – CanSat Pico-Satellite Design (Mechatronics)
Aldo Galeano & Esteban Fretes – Air Bearing Platform for CubeSat Testing (Mechatronics)
Stefanía Viterbori & Jorge Hernáez – Facial Expression Recognition for Pain Detection (Mechatronics)
Guillermo Arguello & Victor Cabrera – Attitude Determination and Control for CubeSats (Electronics)
Luis Kunert – Low-Cost Ground Station for GuaraniSat-1 (Electronics)
Javier Bernal & Esteban Centurión – Muon Identification with Deep Learning (CONNIE)

Technical Skills

Python & Jupyter

C / C++

R

MATLAB

CUDA

Fortran 90/2003

SQLite & HDF5

Linux / Bash Scripting

TensorFlow / PyTorch / Keras

Git / Docker / HPC Clusters