Kianoosh Ashouritaklimi

I’m a second year DPhil student in the Department of Statistics at the University of Oxford, supervised by Tom Rainforth and François Caron. My research aims to develop more robust and effective sequential decision-making methods for real-world applications, with a particular focus on active learning. I am also interested in improving the robustness of frequentist uncertainty quantification methods (e.g. conformal prediction) under common challenges such as model misspecification and distributional shifts.

Before starting my PhD, I completed my MSc in Artificial Intelligence at Imperial College London where I was awarded a Google DeepMind Scholarship. For my dissertation, I analyzed the quality of Bayesian neural network approximations under the supervision of Mark van der Wilk.

I am also passionate about social mobility and widening participation in higher education. Previously, I was an EDI fellow at the University of Oxford, where I had the opportunity to work on the university’s postgraduate recruitment campaigns and initiatives. In my spare time, I also a lousy musician and photographer.

Feel free to reach out to me via email or connect with me on LinkedIn!