Research lab @UofT Reverse-engineering intelligence. Building neural networks and learning systems. Director @DrLaschowski
Toronto, Canada
Joined August 2023
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Meet Brandon Wong, an MSc student @UofTCompSci studying representation learning for neural decoding.
His current research explores how diffusion latents affect downstream learning.
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Yes, but alignment may require reward inference before reward optimization. Then again, human and AI values may never be fully defined via math or natural language.
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Invited talk at @MSFTResearch on building computational models of intelligence. Thanks for having me.
@UofT @LaschowskiLab
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Proud to lead the @UofT summer research program in computer science for students from Ukraine.
@UofTCompSci @VectorInst
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Our mission: reverse-engineer intelligence. Follow Machine Intelligence Lab for updates.
@UofT @LaschowskiLab
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Come learn about our research on reverse-engineering intelligence and the physics of learning and neural computation.
@LaschowskiLab
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Our new study on bidirectional representational alignment between biological and artificial neural networks.
@UofT @LaschowskiLab arxiv.org/abs/2608.18244
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Are you a @UofT student in computer science, math, physics, or engineering? Want research experience?
We’re recruiting students to explore theory and algorithms for inverse reinforcement learning. Email me your resume and transcript.
Machine Intelligence Lab retweeted
I started in neuroscience. Then spent several years building intelligent machines. Now I study general principles of learning and intelligence.
@UofT @LaschowskiLab
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Proud professor. The next-generation of machine learning researchers from Ukraine.
@UofT @LaschowskiLab
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Full-circle. When your students go on to supervise their own students. Congrats Dima on the @eccvconf papers. Proud of you.
Valence-driven memory prioritization in machines by Aditya Rajeev, Sofiya Zbaranska, Sheena Josselyn, and Brokoslaw Laschowski.
@UofT
Bidirectional representational alignment between brains and machines by Samuel Kostousov, Abhin Kaushik, and Brokoslaw Laschowski.
@UofT
Machine Intelligence Lab retweeted
Introducing our framework for interpreting reward functions recovered by inverse reinforcement learning.
biorxiv.org/content/10.64898… @UofT @LaschowskiLab
Machine Intelligence Lab retweeted
Applications are now open for the @VectorInst Distinguished Postdoctoral Fellowships. Come join our world-class machine learning research community.
Apply by August 31: vectorinstitute.ai/research-…
