About Me
I am a Research Scientist at Google DeepMind, working on large scale pre-training.
Prior to joining DeepMind, I was a postdoctoral fellow at Harvard's Data to Actionable Knowledge Lab, working with Prof. Finale Doshi-Velez. I researched machine learning for human-centered decision-making, aiming to develop methods that can help understand, support, and improve decision-making behavior, particularly in healthcare settings.
I completed my PhD in applied maths at the University of Cambridge, supervised by Prof. Mihaela van der Schaar. After completing my PhD, I interned at Microsoft Research Cambridge and Nokia Bell Labs. My background is in electrical engineering, I hold a BSc from Bilkent University, Turkey.
In my personal life, I am an avid board game player. Currently, my favorite game is Root! I like being active. I was involved with Clare Hall Boat Club while I was in Cambridge, both rowing and coxing – we won blades in May Bumps 2024! I love going on a parkrun and trying out new sports when I have the chance.
News!
- Oct 2025: I joined Google DeepMind as a research scientist to work on large scale pre-training!
- May 2025: New pre-print: "Strategically linked decisions in long-term planning and reinforcement learning"!
- Feb 2025: My internship project at Microsoft, "Reasoning elicitation in language models via counterfactual feedback", is selected for oral presentation at ICLR 2025.
- Sep 2024: I joined the Data to Actionable Knowledge Lab at Harvard University as a postdoctoral fellow in computer science.