PhD students at UBC

• Saiyue Lyu (Sep 2022 –)

Masters Students at UBC

• Justin Yilin Yang (May 2022 – ): co-supervised by Xiaoxiao Li
• Michael Liu (Sep 2022 – ): co-supervised by Renjie Liao and Nick Harvey

Undergrad Students at UBC

• Andre Mello Fortes (June 2022 – )

PhD students at Max Planck Institute for Intelligent Systems

• Frederik Harder (Mar 2019 – )
• Kamil Adamczewski (Jan 2019 – )
• Margarita Vinaroz (May 2020 – )

Alumni (Research Interns)

• 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