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SUMMARY:"Machine learning in chemistry and beyond" (ChE-651) seminar by Dr
 . Loïc Roch: Turbocharge R&D with Self-Driving Labs and Bayesian Optimiza
 tion
DTSTART:20241029T151500
DTEND:20241029T161500
DTSTAMP:20260524T212944Z
UID:6e4dcbf13477133714712a28c06cfa73a1e8bae26f7edd1d12bcedbb
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Loïc M. Roch is the co-founder and CTO of Atinary Technol
 ogies\, a Swiss-American AI/ML deeptech startup that enables self-driving 
 labs™ to accelerate R&D with its self-learning approach.\n\nBefore found
 ing Atinary Technologies\, Dr. Roch worked for 2 years as a postdoctoral r
 esearch fellow at Harvard University\, University of Toronto and the Vecto
 r Institute for Artificial Intelligence in Toronto. Dr. Roch specialized i
 n AI and ML for materials discovery and process optimization\, and in soft
 ware design for closed-loop experimentation. He obtained his PhD degree in
  2016 from the University of Zurich and Tianjin University on theoretical 
 and quantum chemistry\, and on the design and optimization of high-perform
 ance computing centers. He obtained both his Bachelor (Chemistry and Chemi
 cal Engineer\, 2010) and his Master (Molecular and Biological Chemistry\, 
 2012) at EPFL\, Lausanne.\nIn this talk\, I will introduce Atinary’s AI 
 platform and self-driving labs technology solutions – SDLabs – and wil
 l showcase how users can significantly accelerate and enhance R&D with a d
 ata-driven approach. More specifically\, I will give an overview of BO for
  chemistry\, transfer learning with neural processes\, and multi-fidelity 
 optimization for efficient use of low-fidelity data. Additionally\, I will
  present various use-cases demonstrating unprecedented acceleration and ta
 rget achievements.
LOCATION:https://epfl.zoom.us/j/68447908297?pwd=OU5JUGJUSUhZc0ZNYjQ2WENvYl
 NRdz09
STATUS:CONFIRMED
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