Alejandro Lancho
About
I received my B.E., M.Sc., and Ph.D. degrees in Electrical Engineering from Universidad Carlos III de Madrid in 2013, 2014, and 2019.
From 2019 to 2021, I was a postdoctoral researcher at Chalmers University of Technology. From 2021 to 2023, I was a Marie Curie Postdoctoral Global Fellow at MIT. Since October 2023, I have been with Universidad Carlos III de Madrid as an Atraccion de Talento Comunidad de Madrid Cesar Nombela Research Fellow.
I was among the six finalists for the IEEE Jack Keil Wolf ISIT Student Paper Award at the 2017 IEEE International Symposium on Information Theory.
Research Interests
- Deep Generative Models
- Deep Learning for Wireless Communications
- Finite Blocklength Information Theory
- URLLC
- Massive Access
- Deep Learning for Health
Selected Publications
- M. Martinez-Garcia, R. Vazquez Alvarez, A. Lancho, P. M. Olmos, I. Valera, "A Probabilistic Hard Concept Bottleneck for Steerable Generative Models," in Proc. Int. Conf. Learn. Representations (ICLR), Rio de Janeiro, Brazil, 2026. OpenReview
- A. Lancho, A. Weiss, G.C.F. Lee, T. Jayashankar, B. Kurien, Y. Polyanskiy, G.W. Wornell, "RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge," IEEE Open Journal of the Communications Society, Apr. 2025. IEEE Xplore arXiv
- T. Jayashankar, G.C.F. Lee, A. Lancho, A. Weiss, Y. Polyanskiy, G.W. Wornell, "Score-based Source Separation with Applications to Digital Communication Signals," in Proc. Conf. Neural Information Processing Systems (NeurIPS), New Orleans, LA, USA, Dec. 2023. OpenReview arXiv
- J. Ostman, A. Lancho, G. Durisi, L. Sanguinetti, "URLLC with Massive MIMO: Analysis and Design at Finite Blocklength," IEEE Transactions on Wireless Communications, Apr. 2021. IEEE Xplore arXiv
See my CV for further details.