Bio
I'm a lecturer and postdoctoral researcher in applied artificial intelligence at the Data Science, Data Systems, & Data Services laboratory (DS3) part of the Institute for Computing Platforms at ETH Zurich.
Previously, I held postdoctoral appointments at the Cognitive Science group (COG) and the Computational Social Science group (COSS) at ETH Zurich and the research centre for Large-Scale Earthquake, Tsunami and Disaster (LsETD, now CESERI) at the Earthquake Research Institute of the University of Tokyo, Japan.
I obtained my PhD in the Computational Science and High-Performance Computing Laboratory at the University of Tokyo.
Previously, I held a principal lecturer appointment at the Universidad del Valle, Guatemala, in both the mathematics and civil engineering departments.
My research focuses on modelling, simulating and analysing social phenomena and the development and deployment of AI/ML-based systems to support this.
I have built systems to analyse AI-driven software agents in artificial worlds in VR (virtual reality) experiments to quantify human behaviour.
I have contributed to systems that make ML (machine learning) more accessible for non-experts while ensuring best practices.
In this context, I have contributed to Easeml/AutoML, an automatic ML system that he has helped to integrate into the Swiss Data Science Center’s Renku data science service.
I have also contributed to Easeml/CI, a system for continuously integrating ML models.
Research Highlights
Digital Support Systems
Digital Support Systems to Improve Child Health and Development in Low-Income Settings
HPC enhanced Large Scale Simulation
City Scale Micro Simulation using HPC infraestructure.
MIT Technology Review Pitch
In 2020 I was selected as an Innovator under 35 for LATAM by MIT Technology Review