MSE, Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA
BSC, Biomedical Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain
Work Experience
LXAI Chair LatinX in AI Global, Mar 2024 – Current Spearhead the coordination of the International Conference on Machine Learning (ICML) 2024 initiatives within the Latinx AI community.
Machine Learning Data Scientist SignalPET, San Diego, USA, Nov 2022 - Current Architected and optimized ML pipelines; implemented state-of-the-art deep learning algorithms; led data engineering initiatives.
Machine Learning Analyst SignalPET, San Diego, USA, Jan 2022 - Nov 2022 Built, maintained, and monitored 80+ ML models for veterinary pathologies.
Research Assistant Johns Hopkins University, Baltimore, USA, May 2021 - Jan 2022 Worked on surgical instrument segmentation and traditional image processing.
Project Manager UniversalDoctor, Barcelona, Spain, Jun 2020 - Jan 2021 Developed a Neural Network for skin lesion segmentation and classification.
Associate Software Engineer GRIFOLS, Barcelona, Spain, Oct 2019 - Jul 2020 Designed and reviewed test protocols for FDA-approved medical devices.
Skills
Languages and Frameworks: Python, Pytorch, Keras, SQL, Postgres, C, C#, C++
Aina Tersol, Alexander R. Loftus, Yael Daihes. (2023). "A Saliency-based Clustering Framework for Identifying Aberrant Predictions." Neural Information Processing Systems (NeurIPS).
