Scholar
Julius von Kügelgen
Google Scholar ID: 6EOl3hAAAAAJ
ETH Zürich
Citations & Impact
Citations
2,384
H-index
27
i10-index
35
Publications
20
Co-authors
69
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted at top conferences such as NeurIPS and ICLR; awarded the 2024 Cambridge G-Research PhD Prize in Quantitative Research; successfully defended his PhD thesis titled 'Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment'; gave talks at various international conferences.
Research Experience
- Currently a postdoctoral researcher at the Seminar for Statistics at ETH Zürich, working with Jonas Peters; also a Branco Weiss Fellow and an associated researcher at the ETH AI Center; during his PhD, he visited Columbia University and UC Berkeley and interned at Amazon.
Education
- PhD from a joint program between the University of Cambridge and the Max Planck Institute for Intelligent Systems, co-advised by Bernhard Schölkopf and Adrian Weller; B.Sc. and M.Sci. in Mathematics from Imperial College London; M.Sc. in Artificial Intelligence from UPC Barcelona and TU Delft.
Background
- Research interests lie at the intersection of causal inference, machine learning, and computational biology. Currently, particularly interested in causal representation learning and its applications in computational biology.
Miscellany
- Personal interests not mentioned
