David Geissbühler (Preferred)
David Geissbühler
Research Associate, Energy Informatics Group, Idiap Research Institute
Joined
October 2024
Names
Emails
****@idiap.ch (Confirmed)
Personal Links
Career & Education History
Research Associate
Energy Informatics Group, Idiap Research Institute (idiap.ch)
2024 – Present
Research Associate
Biometrics Security & Privacy (BSP) Group, Idiap Research Institute (idiap.ch)
2017 – 2024
Postdoc
Powder Technology Group (PTG), EPFL - EPF Lausanne (epfl.ch)
2015 – 2017
Postdoc
ACCES, EPFL - EPF Lausanne (epfl.ch)
2012 – 2015
PhD student
Albert Einstein Center for Fundamental Physics - High-Energy Theory Group, Universität Bern (unibe.ch)
2008 – 2012
Advisors, Relations & Conflicts
Expertise
urban energy modelling
2024 – Present
synthetic image generation
, physics inspired machine learning
2021 – 2024
computer vision
, vision sensors
2017 – 2024
computational engineering
, numerical modelling
, scientific visualisation
2012 – 2017
high energy theoretical physics
, supersymmetry
, superstrings
2008 – 2012