José Ramón Martínez Saavedra
VP of Innovation · Quside Technologies
Barcelona, Spain
I build verifiable entropy infrastructure for cybersecurity and accelerated computing: the randomness layer that keys, protocols and large-scale simulations depend on, and that is rarely checked.
As VP of Innovation at Quside Technologies, I lead R&D across that stack: photonic entropy sources and chips, FPGA and silicon implementations, drivers and SDKs, including quside-curand, which brings verifiable entropy to NVIDIA CUDA workflows. I also drive certification (NIST SP 800-90B; BSI AIS 20/31 evaluation in progress) and integration with post-quantum cryptography. I lead a team of about ten and set technical direction across engineering.
I also run the IP and funding side: PI of €7.5M+ in competitive R&D (Horizon Europe/EIC, CDTI, Digital Europe), co-inventor of 8 patent families (US, EP, CN, JP), and responsible for a portfolio of 30+ families.
Ph.D. in Photonics (UPC/ICFO, 2018, Cum Laude; advisor: F. J. García de Abajo), MSc in Photonics, and Physics at Universidad Complutense de Madrid. MBA (Valar Institute, 2025). Currently pursuing a Law degree (UOC) focused on technology, IP and regulation.
I teach in UPC’s postgraduate programme in quantum engineering, co-supervise doctoral theses at ICFO, and build open teaching tools such as NanophotonicsLab.
news
| Jul 22, 2026 | Announcement_11 |
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| Jul 03, 2026 | Gave an invited seminar — How AI is Transforming Scientific Research — at Universidad de Deusto (Faculty of Health Sciences, in Spanish): AI tools for literature discovery, summarization, data analysis, and academic writing, with live demos. Handout. |
| Jun 09, 2026 | Launched NanophotonicsLab — an open, browser-based nanophotonics simulation toolkit covering Mie scattering, plasmonics, RCWA, beam propagation, and more. No installation required. |
| Mar 30, 2026 | Launched Con la Venia — a visual novel (in Spanish) for learning civil procedural law. |
| Mar 08, 2026 | New preprint: Lindbladian Learning with Neural Differential Equations with T. Heightman, R. Aseguinolaza Gallo, E. Jiang, A. Acín, and M. Płodzień. arXiv:2603.07778 |