I currently lead and support research projects in Logistics and Supply Chain. I find profound passion in finding insights from data, developing mathematical models, making visualizations and teaching. I have strong interests in transportation research, urban logistics, air freight transportation and machine learning methods.
By using artificial supply chain network structures, this research project uses machine learning methods to identify network features where the allocation of safety-stock inventory yields the most value.
Street intersection counts can be useful measures of network connectivity. Road infrastructure shapefiles were extracted from OpenStreetMap. Polygon analysis units are 0.5km2 hexagons. Link to dashboard
From an extensive data collection process in highly congested zones in Guadalajara-México and Quito-Ecuador, simulation models are proposed to assess and evaluate urban delivery alternatives.
Adaptive convolutional neural network for medical image segmentation: Prostate cancer semantic segmentation of MRI images
Boston, MA. 02/2023
Yossi Sheffi, Elisha Gray II Prof. Boston, MA. 01/2020
Invited speaker. 03/2020. Quito, Ecuador.
Urban Logistics Capstone Project Presentation. Boston, MA. 01/2020
Machine Learning with Orange Workshop. 03/2020
Environmental impact due to transportation activities.
Research Project Presentation Boston, MA. 01/2020
Boston, MA. 01/2020
Boston, MA. 01/2020
Boston, MA. 07/2019
