Bio

James Bailie is a Doktor (i.e. postdoc) in the Division of Data Science and AI, Chalmers University of Technology, where he works with Prof. Adel Daoud as part of the AI & Global Development Lab. His research interests span data privacy, statistical methodology and inference foundations.

He received his PhD in statistics from Harvard University in 2025 and his BSc (with first class honours) in mathematics from the Australian National University in 2017. Between these two programs, he worked in the Methodology Division at the Australian Bureau of Statistics (ABS), where for part of 2020 he was on secondment to the Covid-19 Taskforce at the Australian Department of the Prime Minister and Cabinet.

Throughout his PhD, he was generously supported by a Fulbright Future Scholarship. His research has been recognised through the 2019 ABS Ken Foreman award, an 2020 International Association for Official Statistics' (IAOS) Young Statistician Prize, and an Emerging Talent Award at the 2023 International Symposium on Imprecise Probabilities.



Back in 2020, I did an interview with the IAOS and was profiled on the ABS's LinkedIn page. More recently, I was approached by some media outlets about leaving US academia under Trump.

Contact

[last name] [at] chalmers.se
CSE/DSAI
Gibraltarvallsvägen 7
412 58 Göteborg
SWEDEN
This website was last substantively updated on November 7, 2025.