about me
I am a PhD student at Chalmers University of Technology, advised by Fredrik Johansson and Devdatt Dubhashi in the Healthy AI Lab. I received an Honours Bachelor of Science from the University of Toronto in November 2018, where I majored in physics and minored in mathematics and statistics. I obtained my master's in statistics at Yildiz Technical University in August 2022. Before joining at Chalmers, I worked as an ML Engineer at Etiya on anomaly detection systems and as a Neural Graphics Engineer at artlabs.
My research focuses on non-linear independent component analysis, identifiable representations and their applications to decision-making, and contrastive learning with downstream performance guarantees. You can see my publications on the publications page.
news
- New preprint: Learning plug-in surrogate endpoints for randomized experiments.
- Our paper Identifiable Latent Bandits: Leveraging observational data for personalized decision-making appeared in Transactions on Machine Learning Research.
- New website, check again for updates!