Group members

Current group members

• Postdocs:

  • Paul Wiemann

• PhD students:

  • Alejandro Calle-Saldarriaga

  • Anirban Chakraborty

  • Felix Jimenez

  • Dan Drennan

  • Jiayi (Carrie) Lei

• Undergraduate students

  • Jooyoung (Julia) Bae

  • Yaxuan (Kate) Chen

  • Jiazhen Wang

  • Cameron Chambers

Former group members

Postdocs

• Jian Cao (2021-2023)

PhD Students

• Myeongjong (MJ) Kang (2023): Sparse inverse Cholesky factorization for scalable Gaussian-process inference

• Brian Kidd (2022, with Yang Ni): Directed Graphs and Applications

• Daniel Zilber (2021, with Debdeep Pati): Application, Methodology, and Theory for Gaussian Processes

• Jingjie Zhang (2020): Fast Inference for Multi-Scale and Global Spatial Processes

• Marcin Jurek (2020): Scalable Filtering Methods for High-Dimensional Spatio-Temporal Data

• Wenlong Gong (2018): Multi-resolution approximations of Gaussian processes for large spatial datasets

Master/Diploma Research Students

• Patrick Schmidt (2013, with Tilmann Gneiting): Parametric estimation of loss functions

Bachelor Research Students

• Maximilian Ruhland (2014, with Tilmann Gneiting): Similarity-based probabilistic forecasting of wind speed

• Andreas Knapp (2012): Global Bayesian nonstationary spatial modeling for very large datasets

• Andreas Neudecker (2012, in cooperation with Julien Gagneur at Gene Center Munich and Simon Anders at EMBL Heidelberg): A Bayesian hierarchical model for the analysis of RNA sequencing data