Hello

I am a postdoctoral researcher at the CISPA Helmholtz Center for Information Security working with Dr. Krikamol Muandet on Trustworthy Machine Learning in Saarbrücken, Germany. Prior to joining CISPA, I pursued my DPhil within the Oxford Computational Statisics and Machine Learning Group at the University of Oxford, under the supervision of Prof. Dino Sejdinovic, Prof. Mihai Cucuringu and Prof. Xiaowen Dong. During my DPhil, I have interned at Amazon Transportation Service group as an Applied Scientist working on coherent forecasting problems for the EU logistics network. I have also interned at the Max Planck Institute for Intelligent Systems where I worked on improving econometric models with modern machine learning methods. I previously obtained a masters and bachelor degree with first class honours in mathematics and statistics at the University of Oxford. During my masters, I worked with Prof. Mihaela Van Der Schaar on disease trajectory modelling with Bayesian nonparametric models.

Research Interests. My research aims to enhance machine learning models’ ability to explain what they know (explainability) and be explicit about what they don’t know (uncertainty modelling). I have also worked on broader areas of machine learning including Bayesian kernel methods, Gaussian processes, Causal Inference, Preference Learning, and Graph ML.

Please do not hesitate to reach out if you would like to collaborate, I am always excited to hear from you :)

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