cv

PhD Student

University of Edinburgh

PhD student in Machine Learning

• Researching machine learning methods for data-driven computational sensing and imaging in limited data.
• Emphasis on satellite and SAR imagery.

R&D Engineer

Tenaris, Applied Physics Group

R&D at the Applied Physics Group developing optical non-destructive testing systems

• Researched non-destructive testing optical metrology systems and techniques for micrometer defect detection in pipe threads.
• Developed multiple signal processing algorithms for filtering, defect detection and measuring various thread parameters in industrial settings.

Research Assistant

University of Buenos Aires

Researching the photoacoustic imaging inverse problem.

• Developed algorithms for reconstructing images from (photo)acoustic pressure measurements.
• Worked on applying compressed sensing and sparse reconstruction techniques to reduce the complexity of a photoacoustic tomography system.

PhD

University of Edinburgh

Machine Learning, Engineering, AI

• PhD in Machine Learning

BSc + MSc

University of Buenos Aires

Electronic Engineering, Signal Processing

• My thesis involved studying the application of compressed sensing and sparsity techniques to photoacoustic tomography image reconstruction.

Teaching Assistant

University of Edinburgh

Digital Signal Processing Laboratory, Machine Learning in Signal Processing, Signals and Communication Systems 3

Senior Teaching Assistant

University of Buenos Aires

Semiconductor Devices

Senior Teaching Assistant

University of Buenos Aires

Programming and Algorithms II

3rd Place — MAVIC-C 2026

CVPR PBVS Workshop

Placed 3rd overall and 1st in out-of-distribution detection in the 5th Multi-modal Aerial View Imagery Challenge, out of 63 teams. Paper available here

Leaders of the Future 2024

Chosen by Tenaris as one of thirty young professionals to participate in the 2024 edition of “Leaders of the Future”.

16th International Microelectronics Olympiad Finalist

Synopsys

One of three Latin American students chosen to represent the region on the 16th edition of the International Microelectronics Olympiads.

15th International Microelectronics Olympiad Finalist

Synopsys

One of three Latin American students chosen to represent the region on the 15th edition of the International Microelectronics Olympiads.