Here are some relevant publications - for a complete list, see my Google Scholar.

• Addario-Berry, L., Brandenberger, A. M., Hamdan, J. and Kerriou, C. Universal height and width bounds for random trees. arXiv:2105.03195 [math.PR] (2020). Submitted May 2021.
• Brandenberger, A. M., Devroye, L. and Reddad, T. The Horton-Strahler number of conditioned Galton-Watson trees. Electronic Journal of Probability 26: 1-29 (2021).
• Brandenberger, A. M., Devroye, L. and Goh, M. K. Root estimation in Galton-Watson trees. arXiv:2007.05681 [math.PR] (2020). To be published in Random Structures & Algorithms.
• Xiong, M., Hotter, R., Nadin, D., Patel, J., Tartakovsky, S., Wang, Y., Patel, H., Axon, C., Bosiljevac, H., Brandenberger, A. et. al. A low-cost, semi-autonomous wheelchair controlled by motor imagery and jaw muscle activation. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2180–2185 (2019).

• Lie for Me, built in January 2021 with Diego and Gabriela. An animation of the orbits of Lie groups.
• In the Stars, built in January 2021 with Simon and Jacob for Hack the North. Letting the stars answer your burning questions, using GPT-3 and the live feed of a radio telescope.
• Donut Electrodynamics, built in November 2020 with Diego, Shereen, Maia and Gabriela. Simulating electrodynamics on a flat torus. Won 1st place at the McGill Physics Hackathon!
• Random Trees, built in summer 2020 with Diego Lopez. Animating the free tree structures of randomly generated Galton-Watson trees of various offspring distributions.
• MILO: the brain-controlled wheelchair, built in winter 2019 with McGill NeuroTech. "Students from different backgrounds — including biology, computer science, hardware engineering, data collection, and machine learning — got together on their free-time to start a project to challenge themselves and improve the world around them. By gathering EEG bio-signals from the brain, they were able to process the data in order to direct the wheelchair forward, left, right, and stop. Over the course of the development, the students were able to create a wheelchair without using motor controls – just the control of the user’s mind – further improved with impressive semi-autonomous enhancements."

For more samples of code written at 2am, see my GitHub.

Here are a few things I’ve written for various classes on topics that I thought were cool, feel free to check them out (or not)

• Brandenberger, A. On the thermodynamic meaning of negative entropy. Survey paper written for COMP 480: Independent Studies in Computer Science, 18p (2020).
• Brandenberger, A. and McCracken, G. Extending fluctuation dissipation relations to policy gradient methods in reinforcement learning. Project report for COMP 599: Mathematical Foundations of Machine Learning, 14p (2019).
• Alama-Bronsard, Y. and Brandenberger, A. On the study of the topology, geometry, and second order properties of the loss surface of deep neural networks. Project report for COMP 598: Mathematical Foundations of Machine Learning (Statistical Learning Theory), 12p (2018).

I also have some nicely typeset notes for some introductory math and CS classes on a GitHub repo - drop a star if they're useful to you!

Montreal, QC. Maia Darmon Luc Devroye Shereen Elaidi Stephen Fay Marcel Goh Jad Hamdan Diego Lopez Gabriela Moisescu Viet Nguyen Mia Tran Tiffany Yong Dao Chen Yuan

Waterloo, ON. Anna Knörr, Jaime Redondo-Yuste

Vancouver, BC. Alex Iannantuono

Pisa, Italy. Daniela Breitman