Scholar
Stefan Gugler
Google Scholar ID: uySipLsAAAAJ
Postdoc at TU Berlin
Citations & Impact
Citations
342
H-index
8
i10-index
7
Publications
20
Co-authors
36
list available
Publications
Resume (English only)
Academic Achievements
- - Published a paper applying Gaussian process regression and Bayesian sampling to improve the accuracy of dispersion interaction predictions between organic compounds.
- - His master's thesis work was published and won an MSDE award, followed by further collaborative publications.
Research Experience
- - Conducted doctoral research at the Laboratory for Physical Chemistry (now: Institute of Molecular Physical Science) at ETH Zurich, developing procedures to apply machine learning and AI methods to theoretical chemistry.
- - Worked on multifidelity machine learning for transition metal complexes during his Master's thesis at MIT.
Education
- - PhD in Quantum Chemistry, ETH Zurich, Advisor: Prof. Markus Reiher
- - MSc in Computational Inorganic Chemistry, Massachusetts Institute of Technology (MIT), Advisor: Prof. Heather J. Kulik
- - BSc in Interdisciplinary Science with a major in Computational and Physical Chemistry, ETH Zurich (2013-2018)
Background
- Interests: Diffusion models, Artificial photosynthesis, Chemical reaction networks. Specializes in novel machine learning methods and their applications to theoretical chemistry.
