I am a English/French bilingual math/physics tutor, freelancing software engineer, independent researcher, open source contributor, blogger, and terrible speller.

My research interests are in statistical physics, numerical methods in discrete geometry, and digital signal processing. And I like to tinker (checkout my latest software thing.)

Previously I studied math and physics at McGill, and worked as an undergraduate research scholar at the McGill Physics department with Jonathan Sievers, and Gantumur Tsogtgerel. In early 2022 I attended my first (half) batch at the Recurse Center.

• The Recurse Center which embraces the unschooling philosophy. It's a community of self directed programmers.
• A Mind For Numbers by Barbara Oakly. Studying this book in my penultimate year of high-school was a formative meta-learning process for me; it helped me boost my baccalaureat grade by 13% (about one standard deviation.) It introduces concepts such as focus vs diffuse learning, working memory vs long-term memory, spaced repetition, chunking, how to think about procrastination (with a zombie metaphore,) how to build habits, the pomodoro technique, and how to deal with stress.
• Daniel Khaneman's Thinking Fast and Slow has a good discussion of cognitive biases and introduces the System 1 / System 2 framework of cognition (invented by Khaneman himself.)
• Josh Waitzkin's The Art of Learning focuses on mastery of skills that one is already good at. I highly reccomend making use of the accompanying study guid to get the most out of this book.
• Alfie Kohn's writing. He thinks about parenting and pedagogy. He has some outlandish views but he's certainly doing something right—I'm friends with his son who was one of the brightest undergraduates in my peer group, breezing through graduate level math courses at the age of 18.
• Being a scout leader for two years (2016-2018) for the XIeme troupe des Scoutes Pluralists de Beliquge. Growing up scout leaderp as a scout and then transitioning to being a mentor taught me some imporant pedagogical lessons. I believe that many teaching methods that apply to kids also apply to adults, and that the main difference between kids and adults is that kids are better learners, and they are more straightforward about their emotions.
• Michael Lewis' Against the Rules, a podcast about coaching. (Incidentally Michael Lewis wrote a great book about the legendary Daniel Khaneman (mentioned above) - Amos Tversky collaboration.)
• The Inner Game of Tennis, which is popular among musicians.
• Bhuddist theory. Those of you unfamiliar with Bhuddism might find it surprising that a religion would have anything interesting to say about mastering cognitive skills like math. However, many Bhuddist practices are centered on keeping your mind alert, coping with stress, and being happy, which are important for learning effectively. Some useful concepts: Ekaggata, the five hinderances, Sati.
• School 2.0, a comunity of young people in the tech world who met in the desert of New Mexico.
• I've had the good fortune of collaborating with many talented peers and mentors whos learning and teaching styles have informed my own. (if you look in the source code you can find a commented list of names)