A to Z materials, built around problem-solving & real-world relevance
A to Z materials, built around problem-solving & real-world relevance
AI-powered feedback on your reasoning or solution in <1 min
Maths Skills for Finance & Quants
Brainteasers, even Olympiad Maths
Algorithms & Programming
The ultimate formula of Quanta is “high-quality selected materials + AI-automated insightful feedback + community”. Content-vise, the priority is practical maths & programming skills, so stuff that can land you internships, high-paying jobs, insights into cutting-edge maths and AI, and truly interesting theory. Edu-vise: heavy focus on problem-solving, there are even AI-powered contests and there is a sort-of rating that each user can have!
The team of contributors to this project is a bunch of students and top-unis graduates, many of us used to participate in Olympiads, all of us have work and/or research experience. If you want to join this venture, feel free to get in touch — would be cool to chat!
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Arsenii is a mathematics graduate from the University of Cambridge, Trinity College who is now a Strategic Project Lead in one of the fastest-growing AI-companies in Silicon Valley, Mercor, and a founder of this. Before that: quant researcher in finance for half-a-year, research intern in Huawei, IMO silver medalist, and IMO-teams coach.
Quanta is a h̶a̶r̶d̶w̶o̶r̶k̶i̶n̶g̶ nice fluffy cat. She is real and this project is named after her. She even has a passport..
Yuliia has graduated from the University of Cambridge, Peterhouse where she was studying mathematics. Now she does masters by research in algebraic topology. Yuliia has wide experience teaching mathematics to school pupils in Ukraine. She is a contributor for this project: helps with the outreach.
Andrew was studying mathematics at the University of Cambridge, Trinity College, from which she graduated with a distinction. Thus, he is a now a Master Of Mathematics. Andrew is doing PhD in Geometric Group Theory at the University of Bonn, and he is a contributor to this project from the operations side of things.
Pranav is an undergraduate at the University of Oxford, pursuing Mathematics and Computer Science (nice mix, right?). He has twice cleared the INMO; attended India’s IMO Training Camp and represented India at the EPFL Mathematical Games. Passionate about teaching, he co-directed a few clubs supporting olympiad students. Pranav contributed to the development & testing of Quanta's AI model.
Vadym is a third-year mathematics student at the University of Cambridge, who is actively preparing for final exams, while also tutoring olympiad-focused students in Ukraine. He is an IMO Bronze Medalist and has completed an internship at Citadel. Vadym contributed to the development and testing of Quanta's AI model.