Mi Jung Park is an associate professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark. Prior to this, she was an assistant professor in the Department of Computer Science at the University of British Columbia. She was also a CIFAR AI Chair at Amii. Prior to this, she was a research group leader at the MPI-IS Tuebingen and a Cyber Valley research group leader at the University of Tuebingen. Prior to that, she was a postdoc at the informatics institute at UvA (with Max Welling), and at the Gatsby Unit at UCL (with Maneesh Sahani). She received a Ph.D. at UT Austin (supervised by Jonathan Pillow).

Frederik Harder (University of Tuebingen, Mar 2019 --)

Kamil Adamczewski (ETH Zurich, Jan 2019 --)

Margarita Vinaroz (University of Tuebingen, May 2020 --)

Saiyue Lyu (UBC, Sep 2022 -- )

Justin Yilin Yang (UBC, Sep 2022 -- )

Michael F. Liu (UBC, Sep 2022 -- )

Charlie Yingchen He (UBC, Sep 2023 -- )

Jonas Koehler worked on Optimal lossy compression for differentially private data release

Anant Raj worked on differentially private kernel two-sample test (co-supervised by Dino Sejdinovic)

Changyong Oh worked on Bayesian neural networks

Frederik Harder worked on differentially private deep learning

Si Kai Lee worked on differentially private causal inference (co-supervised by Krikamol Muandet)

David Robert Reich worked on measuring the trade­off between privacy and interpretability

Mohammad Amin Charusaie worked on privacy­-preserving data generation using Hermite polynomials

Bahar Salamtian worked on the topic of connecting neural network compression with differential privacy