Han Cheng Lie (pronouns: he / him)
Professor (W1), Chair of Uncertainty Quantification, Institut für Mathematik, Universität Potsdam
Very important science
NEW: 2023 AR6 Synthesis Report. A key figure that illustrates where action can be taken is here. For more figures, see this page.
The evidence for the climate crisis (see also the Sixth Assessment Report of the IPCC)
What individuals can do about the climate crisis [Link to the cited research article]
2019 Global Assessment Report on Biodiversity and Ecosystem Services
2019 IPCC Special Report on Global Warming of 1.5 degrees Celcius
Updates
January 2025:
A minisymposium on learning with dynamical systems and observable statistics, proposed by Joanna Zou, Matt Levine, and myself was accepted for the SIAM conference on dynamical systems.
The paper on data subsampling for Poisson regression, co-authored with Alex Munteanu and accepted in the proceedings for NeurIPS 2024, is available on OpenReview.
November 2024:
I gave a talk on Bayesian inference for covariate-parameter maps at the seminar of the Institute of Stochastics at the Technische Universität Freiberg. Thanks to Björn Sprungk for the invitation.
The first International Conference on Probabilistic Numerics (ProbNum25) will take place 1 through 3 September 2025 at EURECOM in Sophia Antipolis near Nice, France. The conference provides a venue for technically and mathematically ambitious research in Probabilistic Numerics, and a community of researchers who are interested in the quantification of computational uncertainty. Contributed work and archival proceedings will be published as a volume of the Proceedings of Machine Learning Research. The organisers are Motonobu Kanagawa, Alexandra Gessner, Jon Cockayne, and Philipp Hennig.
A preprint on low-rank approximations of posteriors for linear Gaussian inverse problems on Hilbert spaces, co-authored with Giuseppe Carere, appears on arXiv.
Archived updates are available here.