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BEGIN:VEVENT
DTSTAMP:20260426T181646Z
DTSTART;VALUE=DATE-TIME:20260608T130000
DTEND;VALUE=DATE-TIME:20260608T140000
SUMMARY:WCPM\, Kevin Huang\, ÌÇÐÄTV
TZID:Europe/London
UID:20260608-8ac672c59d8bfea7019daa1cd0024e12@warwick.ac.uk
CREATED:20260420T085828Z
DESCRIPTION:Networking Lunch: Outside L5\, from 12:30pm - 1pm. Title: TBC
  Abstract: TBC Bio: Kevin is a postdoctoral research fellow funded by th
 e Engineering and Physical Sciences Research Council (EPSRC) through the
  ProbAI Hub. They are currently based at the University of ÌÇÐÄTV\, wor
 king with Gareth Roberts\, and collaborate with Boris Hanin at Princeton
  University. They completed a PhD in machine learning at the Gatsby Comp
 utational Neuroscience Unit\, University College London\, under the supe
 rvision of Peter Orbanz and Morgane Austern. During this time\, they wer
 e also a visiting researcher with the LIPS group at Princeton Computer S
 cience\, hosted by Ryan P. Adams. Prior to this\, they completed both th
 eir undergraduate and master’s degrees in mathematics at the University 
 of Cambridge. Their research lies at the intersection of machine learnin
 g theory\, probability\, and statistics. They study the emergence of uni
 versal structures in large-scale stochastic systems\, drawing on tools f
 rom random matrix theory\, high-dimensional statistics\, symmetry-based 
 inference\, and stochastic optimisation. Alongside this theoretical work
 \, they increasingly engage with applied challenges\, particularly aroun
 d scaling laws in neural networks\, AI for scientific discovery\, and th
 e robustness and safety of machine learning models. For the 2025–2026 ac
 ademic year\, he is co-organising the ProbAI online seminar series and w
 ill lead the ProbAI Theory of Scaling Laws Workshop at ÌÇÐÄTV in summer
  2026.
LOCATION:
URL:
ATTACH:
CATEGORIES:WCPM
LAST-MODIFIED:20260420T085828Z
ORGANIZER;CN=Jin Kang:
END:VEVENT
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