James Bailie
As of September 2020, I am a PhD student in statistics at Harvard, advised by Prof. Xiao-Li Meng and with the support of a Fulbright Future Scholarship.
My primary research interest is currently statistical privacy – in particular differential privacy, other formal privacy methods and disclosure limitation more generally. I am also a member of the AI and Global Development Lab. Previously, I was a researcher in the Data Access and Confidentiality Methods Unit at the Australian Bureau of Statistics. My research has been recognised through the Ken Foreman award and 2020 International Association for Official Statistics Young Statistician Prize. In 2020, I was also on secondment to the Covid-19 Taskforce at the Australian Department of the Prime Minister and Cabinet.
See IAOS's interview with me about DP at National Statistical Offices or a short profile of me on the ABS's LinkedIn page.
Teaching
I was a teaching fellow for:- STAT S-115 - Data Science: An Artificial Ecosystem (2023, Harvard)
- STAT 288 - Deep Statistics: AI and Earth Observations for Sustainable Development (2022, 2023, Harvard)
- MATH 1115 - Advanced Mathematics and Applications 1 (2017, ANU)
- MATH 1116 - Advanced Mathematics and Applications 2 (2017, ANU)
Contact
Science Center 400 Suite
One Oxford Street
Cambridge, MA 02138-2901, USA
[firstName] h [lastName] at gmail dot com