Alejandro Parada-Mayorga, Ph.D.
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alejandroparadam.bsky.social
Alejandro Parada-Mayorga, Ph.D.
@alejandroparadam.bsky.social
Assistant Professor, Electrical Engineering Department, University of Colorado at Denver

https://alejandroparadamayorga.com/
I'm presenting two papers at the 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing in Barcelona. Learn more! invt.io/1bxbf87rq3h
I'm presenting at the 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing, join me
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January 30, 2026 at 4:46 AM
Reposted by Alejandro Parada-Mayorga, Ph.D.
Some of the best works questioning the necessity of probabilistic models of uncertainty come from the world of mathematical finance: Fischer Black's paper on noise, Hans Föllmer, Vladimir Vovk. Machine learning should be more like mathematical finance.
January 23, 2026 at 4:58 PM
Our work “DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images” will be presented at IEEE International Workshop on Machine Learning for Signal Processing (MLSP) 2025 August 31-September 3, Istanbul/Turkey. lnkd.in/eu7uyh7E
July 20, 2025 at 10:34 PM
Reposted by Alejandro Parada-Mayorga, Ph.D.
What can’t we know? This question haunts all corners of math. Now, two independent proofs of a broader version of Hilbert’s famous 10th problem have expanded the bounds of mathematical unknowability. Joseph Howlett reports:
www.quantamagazine.org/new-proofs-p...
New Proofs Probe the Limits of Mathematical Truth | Quanta Magazine
By proving a broader version of Hilbert’s famous 10th problem, two groups of mathematicians have expanded the realm of mathematical unknowability.
www.quantamagazine.org
February 3, 2025 at 3:34 PM