Machine Learning Study Jams

University of Toronto Scarborough, 1265 Military Trail, Toronto, M1C 1A4

Join us for a series of 5 weekly workshops to learn AI & Machine Learning from scratch using Kaggle!

Feb 2, 10:00 PM – Feb 3, 12:00 AM



Key Themes

Career DevelopmentKaggleML Study JamMachine Learning

About this event

ML Study Jam is a collective learning program helping community members to grow as ML practitioners. The idea is to go through basic ML concepts and share the knowledge in a community. By honing skills and enhancing capabilities, a beginner can start one’s journey to becoming an ML expert.

There are 3 tracks to choose from depending on a community’s preference and circumstances. It is recommended to host tracks sequentially AND/OR to proceed with combined tracks. You can adjust the length of the schedule and coordinate adequate resources (preferred books or online courses) for your group’s members.

Be prepared to roll up your sleeves. Let’s get started with ML Study Jam =)



February 2 – 3, 2024
10:00 PM – 12:00 AM UTC


  • Adibvafa Fallahpour

    University of Toronto

    GDSC Lead

  • Krit Grover

    Vice-Lead Academics

  • Alankrit Verma

    Vice-Lead Partnerships

  • Dmitriy Prokopchuk

    Director - Partnerships

  • Amanda Yin

    Director - Partnerships

  • Borys Łangowicz

    Director - Academics

  • Mathan Thatpar

    Director - Academics

  • Cindy Ji

    Director - Academics

  • Divyansh Kachchhava

    Vice-Lead Operations

  • Hasleen Kaur

    Vice-Lead Finances

  • Jean Luc Imanishimwe


    Director - Operations

  • Priscilla Simanjuntak

    Director - Partnerships

  • Harman Gill


    Director - Academics

  • Jessica Zhu

    Marketing Vice-Lead

  • Murphy Lee

    Google Developer Student Clubs

    Director - Technology

  • Leo Jeong

    Director - Marketing

  • Annie Wu

    Director - Marketing

  • Shreyas Rao

    Google Developers Student Clubs UofT

    Director of Technology

  • Aniedi Udo-Obong

    Regional Leader

Contact Us