about me

I am a research intern in AI at Vector Institute in Toronto where I work on deep learning theory in Murat A. Erdogdu’s group.

email: jivan [dot] waber [at] gmail [dot] com

Currently in Toronto, Canada

research interests

I am interested in designing and inspecting artificial intelligence models to get insights about intelligence. I use theoretical tools and computational experiments to get a better understanding of machine learning.

news

[June 2025] The paper I submitted with my colleagues to the 3rd High-dimensional Learning Dynamics workshop at ICML 2025 has been accepted for an oral presentation.

[September 2024] The work I conducted with my colleagues at MeteoSwiss was presented at the European Meteorological Society Annual Meeting in Barcelona (here’s the abstract).

[June 2024] Attended the 37th Annual Conference On Learning Theory (COLT) in Edmonton.

[April 2024] Started a research internship at Vector Institute in Toronto with Prof. Murat A. Erdogdu on deep learning theory.

[February 2024] Graduated from ETH Zürich with a MSc Applied Mathematics with application in machine learning.

[October 2023] Started developing deep learning models for thunderstorm prediction for my mandatory civil service at MeteoSwiss, the Federal Office for Meteorology and Climate in Zürich.

[August 2023] Defended my master’s thesis on the topic of benign overfitting supervised by Prof. Sara van de Geer and Dr. Geoffrey Chinot (here’s the working draft).