Research & Projects
Current Research Lines
Explainability in artificial intelligence models.
Education aspects during COVID-19 pandemic.
Autism Spectrum Disorders Gene Incidence Prediction.
In partnership with CU Boulder, we are developing an scalable recommendation system to recommend Chicago young people activities within the city and their interests.
In partnership with the School of Medicine, we designed Google Assistant-enabled Applications to improve student success. Press release.
ECHO Data Warehouse Project:
We designed and implemented a highly scalable data warehouse to store and query datasets with hundred of thousand features.
We implemented a solution with some members of the BDLab, trying to achieve a good prediction of crime.
Trajectory Consolidation Project:
Using SQLServer Spatial to store and consolidate trajectory points into well-defined trajectories.
Other projects I was involved in the past
Databases High Availability in Multiple Datacenter Architecture Design (DGI)
Factura Electronica Project (DGI)