Cesar Augusto Vargas-García
Principal Investigator (Investigador Ph.D. Asociado)
Corporación Colombiana de Investigación Agropecuaria - AGROSAVIA
Mosquera, Colombia
📧 cavargas@agrosavia.co
About
I am a computational scientist with a unique interdisciplinary background, combining expertise in computer science, electrical engineering, and systems biology. My research focuses on integrating advanced computational and mathematical modeling with biological and agricultural applications, leveraging Artificial Intelligence to address pressing challenges in these fields.
Education
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Ph.D. in Electrical and Computer Engineering (2012-2018)
University of Delaware, USA
Dissertation: Stochastic Computational System Biology -
M.Sc. in Computer Science (2009-2012)
Universidad Industrial de Santander, Colombia
Research: Metabolic Networks and Flux Balance Analysis -
B.Sc. in Computer Science (2003-2008)
Universidad Industrial de Santander, Colombia
Professional Journey
Starting as a computer scientist, I found my passion at the intersection of computational methods and biological phenomena. My Ph.D. journey allowed me to apply deep theoretical tools from control theory and computer science to understand complex biological systems. Currently, as Principal Investigator at AGROSAVIA, I lead research initiatives that bridge theoretical modeling with practical agricultural and biological applications, collaborating with both local and international organizations.
Research Focus Areas
- 🌾 Hyperspectral Imaging for Colombian Agriculture
- 🔬 Probability Modeling in Cancer Research
- 🧬 Stochastic Process Modeling for Cell Size Control
- 🦠 HIV Transmission Mathematical Modeling
- 🤖 Artificial Intelligence Applications in Biology & Agriculture
Recent Highlights
- 2025: Recognized as Investigador Senior by Minciencias
- 2024: Leading Extended Statistics Team at AGROSAVIA
- 2024: Multiple grants from Ministry of Science and AGROSAVIA for AI in Agriculture
- 2023: Published PyEcoLib - Python Library for E. coli size dynamics estimation
- 2022: Recognized as Investigador Senior by Minciencias
Recent Publications (2025)
🧬 Dynamical Inference of Cell Size Regulation Parameters
arXiv preprint | Read Paper
Just like humans maintain a healthy weight, cells need to stay the right size. They do this by deciding when to divide based on how big they are and how much they’ve grown. This study creates a new mathematical tool to understand how cells make these decisions, especially when conditions change (like when food runs low). The method helps scientists understand how cells adapt to changing environments and could improve our knowledge of cell growth in health and disease.
🌾 Non-centrifugal Cane Sugar Crop Monitoring Through Remote Sensing
SPIE Remote Sensing | Read Paper
Panela (unrefined cane sugar) is Colombia’s second most important crop after coffee. This groundbreaking study used satellite images to monitor over 90% of Colombia’s panela fields for the first time, tracking 9,208 individual farms across 52 municipalities from 2020 to 2025. By analyzing millions of satellite images, researchers identified different growing patterns across the country, giving farmers better tools to understand their crops and helping support thousands of small-scale farmers who depend on this traditional crop.
Recent Media Highlights
- 🤖 Invited Speaker at AgroTech La Salle 2025
- 🤖 Invited Speaker at Segunda Cumbre IA 2025
- 🌐 Global Technology Panel Panel CTel Global 2025
Links
AGROSAVIA | ORCID | Google Scholar | Scopus | ResearchGate | CvLac | Agriperfiles
| Research | Press & Media | Publications |
Last updated: October 2025