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Current position#

Caltech · Postdoctoral Researcher, Computing and Mathematical Sciences · Pasadena, CA · Sep 2026 – Present

Education#

Ph.D., Electrical and Computer Engineering · Rice University, Houston, TX · Jan 2021 – Sep 2026

  • Thesis: From Guided Sampling to Learned Solvers: Diffusion Models for Inverse Problems
  • Advisor: Santiago Segarra

M.S., Electrical and Computer Engineering · Rice University, Houston, TX · Jan 2021 – Nov 2023

  • Thesis: Annealed Langevin dynamics for massive MIMO communications

B.S., Electrical Engineering (with honors) · University of Buenos Aires, Argentina · Mar 2013 – Feb 2020

  • Thesis: Development of inference algorithms for UWB-GPR signals

Experience#

Google · Student Researcher, Computational Imaging Team (LUMA) · Mountain View, CA · May–Sep 2026

Flatiron Institute · Summer Research Intern, Center for Computational Neuroscience (Computational Vision group) · New York, NY · May–Aug 2025

InterDigital · Summer Research Intern, Wireless AI Lab · Los Altos, CA · May–Aug 2024

  • PIs: Akshay Malhotra and Shahab Hamidi-Rad
  • Keywords: topological autoencoder, zero-shot stitching, latent space communication

ExxonMobil · Data Engineer · Buenos Aires, Argentina · Jul 2019 – Dec 2020

  • Keywords: front and back-end, cloud computing, agile methodologies

University of Buenos Aires · Research Assistant, School of Engineering · 2018–2019

  • PIs: Bruno Cernuschi-Frias, Juan Augusto Maya, Andres Altieri
  • Keywords: particle filter, ground penetrating radar imaging, Green’s function, sparse Bayesian learning

Awards#

Grants#

  • NVIDIA Academic Grant — 2026
  • AI generated visuals: a solution for image demand in social science research — Rice University, 2025

Fellowships#

  • Ken Kennedy – HPE Cray Graduate Fellowship — Rice University, 2024. One-year fellowship for outstanding graduate students.
  • UBACyT Scholarship (declined) — University of Buenos Aires, 2018. Scholarship for undergraduates to initiate on research.

Honors#

  • Top reviewer (Silver) — ICML 2026. Selected on the basis of area chair ratings.
  • Google PhD Fellowship nominee — Rice University, 2025. One of two nominees selected by the ECE department.
  • Excellence in Research — Rice University, 2020. ECE section of the Gulf Coast Undergraduate Research Symposium (GCURS).

Travel grants#

  • ICML Travel Grant — 2026
  • ICLR and AISTATS Travel Grant — 2025
  • REA (Rice Engineering Alumni) Graduate Student Travel Grant — 2025

Talks#

  • From Guided Sampling to Learned Solvers: Diffusion Models for Inverse Problems — Universidad de la República, Uruguay, Dec 2025
  • From Guided Sampling to Learned Solvers: Diffusion Models for Inverse Problems — Yusu Wang’s group, UCSD, Nov 2025
  • Towards fast samplers for solving inverse problems using diffusion models — Pendulum Systems, Jun 2024

Professional activities#

Organization#

  • Special Session: Generative AI for Graphs — Asilomar 2026. Organizer and Technical Chair.

Workshops attendance#

  • Khipu AI 2025, Santiago, Chile — AI and machine learning in Latin America
  • LOGML Summer School 2024, London, UK — geometry and machine learning
  • Graph Signal Processing Workshop 2023, Oxford, UK — poster presentation

Reviewer#

  • Journals: IEEE Communications Letters; IEEE Trans. Cognitive Communications; IEEE Trans. Signal Processing; IEEE Trans. Communications
  • Conferences: ICASSP, EUSIPCO, ICC, SAM, CAMSAP, NeurIPS (2025), ICLR (2026), ICML (2026), AAAI (2026)

Community service#

  • Evaluator, Gulf Coast Undergraduate Research Symposium (GCURS) — 2024, 2025
  • Mentor of incoming ECE PhD students, data science track — 2024
  • Organizer, LatAm Rice Networks, Robots and ML Minisymposium, Rice University — 2021
  • Member, Council of the Faculty of Engineering, University of Buenos Aires — 2019–2021
  • Member, Advisory Board, Department of Electronics, University of Buenos Aires — 2018–2021
  • Member, Curricular Committee, Electronic Engineering Degree, University of Buenos Aires — 2017–2021