Post-docs

Gregor Simm

I am a postdoctoral fellow working with José Miguel Hernández-Lobato on Bayesian optimization to accelerate the discovery of novel materials and chemical reactions. My research is supported by an Early Postdoc.Mobility fellowship of the Swiss National Science Foundation. From 2015 to 2018, I was pursuing my Ph.D. in theoretical chemistry under the supervision of Markus […]

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Yichuan Zhang

I am a post-doc researcher working on statistical inference, undirected graphical models, deep generative models and data cleaning related applications. My major theoretical interest of research is focused on the mathematical foundation of machine learning and general intelligent systems. I am also enthusiastic about general probabilistic programming and software systems for industrial machine learning applications. […]

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Kristoffer Stensbo-Smidt

I am a postdoctoral researcher and Marie Skłodowska-Curie Individual Fellow at the Machine Learning Group, University of Cambridge. I received my PhD from the University of Copenhagen, where I subsequently worked as a postdoc. The fields of probabilistic machine learning and statistics broadly define my research interests, and I am particularly enthusiastic about models that […]

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Eric Nalisnick

I am a postdoctoral researcher at the Cambridge Machine Learning Group. My research interests cover a swath of probabilistic machine learning and statistics. In particular, I am interested in both the theory and application of models that can quantify their uncertainty while being robust and computationally efficient. I completed my PhD under the supervision of […]

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Tameem Adel

I am a research fellow in the Machine Learning Group at University of Cambridge, working with Prof. Zoubin Ghahramani and Dr. Adrian Weller. Before that, I was a postdoctoral researcher at the Amsterdam Machine Learning Lab (AMLAB), advised by Prof. Max Welling. I have obtained my PhD from University of Waterloo in 2014, advised by […]

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Francisco J. R. Ruiz

Francisco J. R. Ruiz is a Postdoctoral Research Scientist with David Blei at the Data Science Institute and the Department of Computer Science at Columbia University, and with Zoubin Ghahramani at the Engineering Department of the University of Cambridge. He currently holds a Global Marie Curie Fellowship in the context of the E.U. Horizon 2020 […]

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Robert Peharz

I am a Research Associate in the Machine Learning Group at the University of Cambridge, working with Prof. Zoubin Ghahramani. I am generally interested in the wide field of probabilistic modeling, as this is arguably the approach to reason under uncertain knowledge. In particular, I am interested in methods which aim to strike a sensible […]

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Christian Steinruecken

Christian Steinruecken is a post-doctoral researcher in machine learning, working on the Automatic Statistician Project with Prof Zoubin Ghahramani.

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