I've done it! I've finished the complete series of video lectures to complement my book. Here's the last one on model identification with autoencoders: youtube.com/watch?v=cFpyjE…

Congratulations to Sara A Solla for receiving the Valentin Braitenberg Award for #ComputationalNeuroscience 2025! 🎉 The award ceremony and accompanying lecture will take place during the #BernsteinConference. 👉 bit.ly/4okssfz Northwestern #BernsteinNetwork

Mathematical Foundations of Geometric Deep Learning arxiv.org/abs/2508.02723

Excited to announce the Neurocomputation & Dynamics workshop at #CDC2025 in Rio! Join us on Dec 9 for a full day of brain-inspired computation, neural dynamics, and control theory. Students & postdocs—submit abstracts for Lightning Talk session by Oct 31: cnd.northwestern.edu/neurocomputati…

Join the discussion on what makes robot learning data "good" at our Conference on Robot Learning workshop 🚀! Topics include data composition, curation, and interpretability. Submit by Aug 22!

New Video Series: Statistics & Data Analysis! youtube.com/watch?v=QIXUTs… 35 videos, 10 hours: Random sampling, Central limit theorem, Distribution estimation, Method of moments, Maximum likelihood estimation, Hypothesis testing, Monte Carlo sampling, Bayesian statistics, and more!

We’re excited to host the 8th Learning for Dynamics & Control (L4DC) Conference at the University of Southern California from June 17–19, 2026 ☀️🌴 Consider submitting your latest research at the interface between learning, optimization, and control, see sites.google.com/usc.edu/l4dc20…

Honored and humbled to receive the 2026 IEEE Kiyo Tomiyasu Technical Field Award for advancing the science and practice of robot autonomy — on Earth and in space. Even more special to share this announcement with two pioneers of robotics! More here: ieee-ras.org/about-ras/late…

Theoretical Biology of the Cell: A Dynamical-Systems Perspective We recommend this book for descriptive biologists who are bridging the gap towards mathematics. This book is also a a good reccomendation for people in mathematical biology and biophysics undergrads.

I am sharing a podcast describing my ”Convex Optimization Theory” book from 2009: notebooklm.google.com/notebook/d69a4… The .pdf copy of the book can be found at web.mit.edu/dimitrib/www/C… and includes a 180-pages supplement of mathematical optimization exercises with detailed solutions

Add November 8th to your calendars: the call for papers for #L4DC2026 is out at sites.google.com/usc.edu/l4dc20…!

🎙️ New episode! @DellaSantinaC takes us inside soft robotics — a young, daring field where compliance replaces rigidity, intelligence emerges from shape, and underactuation is a feature, not a flaw. A rare front-row seat to a discipline with more questions than answers. 🚀🧠

By popular demand, a motivating definition for my TML course: A hidden, high dimensional, nonlinear, dynamical system — say, the brain — emits a sequence of tokens. We say it is efficiently learnable with sample complexity Q if, after observing Q tokens, we can predict future

If you are looking for PhD/PostDoc positions that fit Optimal Control, Stochastic methods and Optimization algorithms feel free to get in touch with me or refer to this post on LinkedIn lnkd.in/gv5uE6h6

Going to IEEE CDC 2025, in Rio? 🌴☀️ Don’t miss our workshop on Control Architectures Theory (CAT) – Dec 9, right before the main conf! With an amazing speaker lineup + organizers Aaron Ames, Nikolai Matni & me. 👉 cat-cdc25.github.io #CDC2025 #Autonomy #ControlArchitectures