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Ching Lam Choi

chinglamchoi.github.io · 1,227 words · saved by 1 readers

I'm a first year MIT EECS PhD student at CSAIL, co-supervised by Phillip Isola, Antonio Torralba and Stefanie Jegelka. During my CUHK bachelor's, I researched with wonderful people — Aaron Courville and Yann Dauphin at MILA; Wieland Brendel at Tübingen's Max Planck Institute; Serge Belongie at Copenhagen's Pioneer Centre; CUHK's Hongsheng Li (MMLab), Anthony Man-Cho So, Farzan Farnia and Qi Dou. CV / Bio [WIP] / Coffee-hours / Blog [WIP] I am interested in probing the robustness, causal reasoning and epistemic capabilities of ML systems. In robustness, I investigate making systems run on synthetic data, such that they scale in a sustainable, privacy-preserving manner. Through causality, I aim to make models rational, understandable and reliable, to provide safety and logic-symbolic guarantees. Epistemology concerns understanding the extent of AI's capabilities, testing its limits in expression and generation through computational/complexity theory. Debiased path attribution by pe

Ching Lam Choi Ching Lam CHOI I'm a second year MIT EECS PhD student at CSAIL , co-supervised by Phillip Isola , Antonio Torralba and Stefanie Jegelka . During my CUHK bachelor's, I researched with wonderful people — Aaron Courville and Yann Dauphin at MILA ; Wieland Brendel at Tübingen's Max Planck Institute ; Serge Belongie at Copenhagen's Pioneer Centre ; CUHK's Hongsheng Li (MMLab) , Anthony Man-Cho So , Farzan Farnia and Qi Dou . CV / Bio [WIP] / Coffee-hours [WIP] / Blog [WIP] Research I research injecting structure into multi-modal foundational models. I am interested in cryptographic a

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