## Principal Investigator
Prof. Dr. Niki Kilbertus

Prof. Dr. Niki Kilbertus

Group Leader

Niki Kilbertus leads the research group on trustworthy machine learning. His work focuses on causal inference, fairness in machine learning, and privacy-preserving methods.

--- ## Postdoctoral Researchers
Dr. Jane Smith

Dr. Jane Smith

Postdoctoral Researcher

Jane's research focuses on causal discovery and interventional reasoning in complex systems.

--- ## PhD Students
Alice Mueller

Alice Mueller

PhD Student (since 2021)

Alice works on fairness-aware machine learning with applications in healthcare decision systems.

Bob Chen

Bob Chen

PhD Student (since 2022)

Bob researches privacy-preserving federated learning and differential privacy guarantees.

Clara Vogel

Clara Vogel

PhD Student (since 2023)

Clara focuses on Bayesian methods for causal inference and uncertainty quantification.

--- ## Master's Students

David Park

Master's Student

David is working on his thesis on robust causal effect estimation under distribution shift.

--- ## Alumni
NameRoleThesis / ProjectCurrent Position
Dr. Eva FischerPhD AlumniAlgorithmic Fairness under Causal ConstraintsResearch Scientist, XYZ Labs
Felix WagnerMaster's AlumniCausal Structure Learning for Time-Series DataPhD Student, ETH Zürich