Current Appointments & Affiliations
Assistant Professor of the Practice in the Department of Electrical and Computer Engineering
·
2024 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Recent Publications
Data adequacy bias impact in a data-blinded semi-supervised GAN for privacy-Aware COVID-19 chest X-ray classification
Conference Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, BCB 2022 · August 7, 2022 Supervised machine learning models are, by definition, data-sighted, requiring to view all or most parts of the training dataset which are labeled. This paradigm presents two bottlenecks which are intertwined: risk of exposing sensitive data samples to the ... Full text CiteDetermination of optimal set of spatio-Temporal features for predicting burn probability in the state of California, USA
Conference Proceedings of the 2022 ACMSE Conference - ACMSE 2022: The Annual ACM Southeast Conference · April 18, 2022 Wildfires play a critical role in determining ecosystem structure and function and pose serious risks to human life, property and ecosystem services. Burn probability (BP) models the likelihood that a location could burn. Simulation models are typically us ... Full text CiteData-Blind ML: Building privacy-aware machine learning models without direct data access
Conference Proceedings - 2021 IEEE 4th International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2021 · January 1, 2021 Traditional Machine Learning (ML) pipeline development requires the ML practitioner to directly access the data to analyze, clean and preprocess it, in order to develop an ML model, train it and evaluate its performance. When the data owner has no infrastr ... Full text CiteEducation, Training & Certifications
University of Colorado, Denver ·
2022
Ph.D.
Universidad de la Republica (Uruguay) ·
2012
M.S.