Olawale Onabola

I am a Machine Learning Engineer at RBI (Tim Hortons) where I work largely on recommendation system.

At RBI, I build and deploy scalable recommendation systems for the TH Drive Thrus across Canada.

Previously, I interned in the Humanitarian AI group at MILA under the supervision of Dianbo Liu and Kris Sankaran. My Principal Investigator was Prof Yoshua Bengio.
Immediately after leaving MILA, I joined a startup briefly where I worked on RL-based recommendation system.

Email / GitHub / Google Scholar / LinkedIn

Research

I'm generally interested in building deep learning algorithms drawing inspiration from the intersection of statistical physics, computational neuroscience and computer science, with application to recommendation systems, drug discovery and humanitarian causes.

News

[05/2023]	Invited as a panelist to the Associative Memory & Hopfield Networks Workshop at NeurIPS, 2023.
[07/2021]	Our paper on FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters was accepted to ICCV, 2021.
[02/2021]	Our paper on hBert+BiasCorp - Fighting Racism on the Web was accepted to the First Workshop on Language Technology for Equality, Diversity, and Inclusion at EACL, 2021.
[08/2020]	Participated in 2020 MIT CBMM Brains, Minds & Machines Summer Course (remotely due to COVID).
[10/2019]	Accepted offer to join MILA for a research internship.
[10/2018]	Awarded a travel grant by BAI to attend NeurIPS, 2018.

Design and source code from Jon Barron's website