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Harris Chan
610 posts
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Harris Chan
@SirrahChan
Research Scientist at @GoogleDeepMind, ML PhD @UofT/@VectorInst. EngSci Grad. Former Canadian Rubik's Cube Champion.
Toronto, Ontario
Joined January 2013
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  • user avatar
    Harris Chan
    @SirrahChan
    Jan 20, 2025
    Here's my attempt at visualizing the training pipeline for DeepSeek-R1(-Zero) and the distillation to smaller models. Note they retrain DeepSeek-V3-Base with the new 800k curated data instead of continuing to finetune the checkpoint from the first round of cold-start SFT + RL
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    Harris Chan
    @SirrahChan
    May 15, 2019
    Got an email about my paper submission and turns out it was rejected... Then I woke up realizing it was a dream. Proceeded to check my email and found out my paper was rejected, in real life. Dreams do come true 😅
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    Harris Chan
    @SirrahChan
    Dec 4, 2018
    One of the coolest poster I've seen at #NeurIPS2018! Poster #9
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    Harris Chan
    @SirrahChan
    Nov 4, 2025
    Come join our team to work on World Models!
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    Jack Parker-Holder
    @jparkerholder
    Nov 4, 2025
    Excited to build models that simulate the world? 🌐🌐🌐 Our team is hiring!! See posts below for Research Scientists and Engineers. The roles are somewhat fluid, but rule of thumb is the RS typically require a PhD. Preference for London or Toronto. Apply here: 👇👇
    77K
  • user avatar
    Harris Chan
    @SirrahChan
    Nov 13, 2025
    Are you interested in how world models like Genie 3 can help embodied AI agents and vice versa? 🌐🤖 I’m hiring a Student Researcher at @GoogleDeepMind in Toronto for a 6-month role to explore this question! Apply here:
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    docs.google.com
    Interest for 2026 Student Researcher position on World Models for Generalist Embodied AI
    Please fill this form to express your interest for a Google DeepMind student researcher position on world models for generalist embodied AI. You will be primarily supervised by Harris Chan and...
    29K
  • user avatar
    Harris Chan
    @SirrahChan
    Nov 13, 2025
    So excited to share SIMA 2! We've made incredible progress in creating generalist, interactive, embodied agents in complex 3D worlds. And SIMA 2's capacity for self-improvement is a glimpse of what's to come!
    user avatar
    Google DeepMind
    @GoogleDeepMind
    Nov 13, 2025
    SIMA 2 is our most capable AI agent for virtual 3D worlds. 👾🌐 Powered by Gemini, it goes beyond following basic instructions to think, understand, and take actions in interactive environments – meaning you can talk to it through text, voice, or even images. Here’s how 🧵
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  • user avatar
    Harris Chan
    @SirrahChan
    Dec 7, 2023
    What an exciting day to share that I'm starting as a Research Scientist at @GoogleDeepMind in a fantastic team led by @VladMnih! It's a dream come true to collaborate with incredible researchers and focus on building generalist agents 🙏
    20K
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    Harris Chan
    @SirrahChan
    Apr 15, 2025
    Congratulations to my advisor @jimmybajimmyba and to @dpkingma! During my undergrad ML course in 2015, Jimmy as a TA gave a tutorial on optimizers when Tensorflow first came out and said nonchalantly to try out this new Adam optimizer. The rest is history.
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    ICLR
    @iclr_conf
    Apr 14, 2025
    Replying to @iclr_conf
    Test of Time Winner Adam: A Method for Stochastic Optimization Diederik P. Kingma, Jimmy Ba Adam revolutionized neural network training, enabling significantly faster convergence and more stable training across a wide variety of architectures and tasks.
    13K
  • user avatar
    Harris Chan
    @SirrahChan
    Jan 21, 2025
    Replying to @YouJiacheng
    Good catch! I updated the diagram here. The way the paper phrased exploring several approaches made it unclear if all or only some of the tricks were used for the cold start data. But probably the R1-Zero outputs were indeed used.
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    Harris Chan
    @SirrahChan
    Apr 30, 2020
    Introducing Deep Norms, Wide Norms, and Neural Metrics: neural network architectures guaranteed to satisfy the triangle inequality for metric learning, RL, & more. Come to our live Q&A for #ICLR2020 today (Thurs) @ 8-10AM (Sess 3) & 4-6PM (Sess 5) EST 😀 iclr.cc/virtual/poster…
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    Harris Chan
    @SirrahChan
    Oct 20, 2025
    Come join us to work on world models and push the frontier of robotics starting this fall! 🤖🌐
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    Fei Xia
    @xf1280
    Oct 19, 2025
    The mission is calling! #Google DeepMind Robotics is looking for talented researchers to join our team and help build the new frontier of robotics intelligence through world modeling. job-boards.greenhouse.io/deepmind/jobs/…
    17K
  • user avatar
    Harris Chan
    @SirrahChan
    Dec 4, 2018
    Congratulations to the amazing @DavidDuvenaud, @rtqichen, @YuliaRubanova, @jessebett on winning best paper award at #NeurIPS2018 for their work on Neural Ordinary Differential Equations! @VectorInst
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  • user avatar
    Harris Chan
    @SirrahChan
    Aug 1, 2019
    I really like @aharutyu's clean, concise slides during her generalization in RL talk. There are so many things and ways RL agents can generalize, it's an exciting time to work on these areas! #DeepRL #DLRLSS @DeepMindAI
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    Harris Chan
    @SirrahChan
    Jun 3, 2023
    STEVE-1 surprisingly also works with visual prompts taken from real life videos, thanks to using MineCLIP's embedding! See🧵👇 Such a fun project with @Shalev_lif @keirp1 @jimmybajimmyba @SheilaMcIlraith (Credits to @CorruptCarnage and Soil Television for the source videos)
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    Keiran Paster
    @keirp1
    Jun 2, 2023
    Meet STEVE-1, an instructable generative model for Minecraft. STEVE-1 follows both text and visual instructions and acts on raw pixel inputs with keyboard and mouse controls. Best of all - it only cost $60 to train! w/ @Shalev_lif @SirrahChan @jimmybajimmyba @SheilaMcIlraith
    30K
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