Juan Antonio Robledo Lara

I work as a Senior Research Programmer at the Decision Science Center at Tecnológico de Monterrey’s School of Government and Public Transformation. I build data systems, simulation tools, and machine learning models to help analyze complex social, economic, and environmental issues.

I design and implement data pipelines, forecasting workflows, and large-scale simulation analysis tools that transform heterogeneous datasets into model-ready inputs for predictive and exploratory modeling. My work often involves building reproducible data infrastructure and scalable processing pipelines to support scenario analysis and machine learning applications.

I earned my M.S. in Computer Science from Georgia Tech, specializing in Machine Learning. While in graduate school, I worked on projects in applied machine learning and robotics, including systems that used deep learning for object detection and robotic control.

Before Tecnológico de Monterrey, I was a Research Engineer at IPICyT. There, I designed and set up data pipelines for air quality monitoring and predictive analytics. I also created calibration models for affordable environmental sensors and built workflows to process and visualize pollution data.

Earlier in my career, I did bioengineering research at Harvard Medical School with Prof. Yu Shrike Zhang. I developed 3D-printing methods and hydrogel-based tools for modeling tissues in biomedical research.

In all these roles, I have focused on building software, data systems, and machine learning tools to tackle complex real-world problems. I am especially interested in projects that bring together data engineering, scalable analytics, and applied machine learning.