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I work as a Applied Scientist for AWS AI where I explore the intersection of Machine Learning, Deep Learning and Causality. In particular, I am interested building models that understand notions of objects present in the real world.
Prior to my position at AWS I was a PhD Student in Machine Learning and Computational Biology at ETH Zürich and worked on the development of deep learning methods for real world medical time series, Dimensionality Reduction and Topological Machine Learning.
My interests include but are not limited to: Machine Learning for Healthcare, Probabilistic Modelling, Time Series Modelling and Interpretable Machine Learning.
Here I write about stuff I care about in the realm of science, programming, technology and crypto. All opinions expressed are solely my own and do not express the views or opinions of my employer.


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