Graduate Students

Alessandro Davide Ialongo

  Alessandro completed a BA in Philosophy before moving on to a Master’s degree in Machine Learning at UCL. Continuing the work of his Master’s thesis, he spent one year at the Gatsby Computational Neuroscience Unit working with Professor Sahani on latent variable dynamical systems. Prior to joining the Cambridge-Tübingen Machine Learning group in October [...]

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John Bradshaw

John Bradshaw graduated with a Master’s of Engineering from the University of Cambridge in 2015. After working for a year in a startup that applied deep learning to industrial problems he joined the group as a PhD student in 2016. He is funded by the EPSRC.

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David Janz

David graduated from the University of Oxford with an MEng in Engineering, Economics and Management in 2016, having worked with Frank Wood and Jan-Willem van de Meent for his master’s research project. He joined the group as a PhD student later that year, looking to explore themes around generative modelling, automated and interpretable machine learning, [...]

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Paul Rubenstein

Paul graduated from the University of Cambridge with a BA in Mathematics and an MPhil in Computational Biology. He then received an MSc in Computational Statistics and Machine Learning from UCL, where he worked with Arthur Gretton for his thesis. He recently joined the group as a PhD student on the Cambridge-Tuebingen programme and is [...]

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Mark Rowland

Mark Rowland graduated from Cambridge University with a BA and MMath in 2013, having specialised in probability and group theory. Before starting his PhD he worked as an actuarial consultant, and has recently interned with the machine learning group at a systematic trading firm. He is funded by an EPSRC studentship at the Cambridge Centre [...]

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Matthias Bauer

Matthias Bauer graduated with an M.Sc. in Physics from University of Munich and a Master of Advanced Studies in Physics from Cambridge University. He went on to work as a research assistant in the Statistical and Biological Physics group at the University of Munich. He joined the Cambridge-Tübingen PhD programme in 2015 and is funded [...]

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Matej Balog

Matej Balog graduated from Merton College, University of Oxford with the degree Master of Mathematics and Computer Science. He joined the group in 2015 as a PhD student on the Cambridge-Tübingen Machine Learning programme. He is funded by the EPSRC and the Qualcomm European Research Studentship Fund.

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Gintare Karolina Dziugaite

I am a member of King’s College and joined Zoubin Ghahramani’s group in Spring 2014 as a PhD student. Before that, I studied Mathematics at Warwick University and read Part III in Mathematics at Cambridge, receiving a Masters in Advanced Studies in Applied Mathematics. My PhD is funded by the EPSRC. My research interests include [...]

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Mateo Rojas-Carulla

Mateo Rojas-Carulla graduated with an MSc in Mathematical Engineering and Computer Science from Ecole des Ponts ParisTech and a Master of Advanced Study in Mathematics from Cambridge. He went on to work as an equity quantitative analyst at Credit Suisse, then as an engineer in Cantab Research, where he developed recurrent neural networks for language modelling. [...]

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Adam Ścibior

Adam Ścibior received a BA in Computer Science from Cambridge and MSc in Physics from Adam Mickiewicz University in Poznan. He is a PhD student on the Cambridge-Tübingen programme, jointly supervised by Prof Zoubin Ghahramani in Cambridge and Prof Bernhard Schölkopf in Tübingen. He is funded by the Cambridge-Tübingen PhD fellowship, Cambridge European Trust and EPSRC. Personal [...]

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Shane Gu

Shixiang (Shane) Gu received a B.ASc. in Engineering Science from the University of Toronto, where he did his undergraduate thesis with Professor Geoffrey Hinton on distributed training of neural networks. He then worked in Silicon Valley prior to joining the lab. He is jointly funded by the Cambridge-Tübingen PhD Fellowship, Facebook, Kenneth-Sutherland Memorial Scholarship from [...]

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Alexandre Khae Wu Navarro

Alexandre is currently a PhD student supervised by Dr. Richard Turner and Dr. Carl Rasmussen. His main research interest lies in the intersection between Directional Statistics and probabilistic Machine Learning, both in fundamental and applied research. He is also interested in variational methods, causal inference, partially-observed Markov processes (encompassing change-point models). For an overview of [...]

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Yingzhen Li

Yingzhen received a Bacholar degree in Mathematics from Sun Yat-sen University in China. She joined the group in Oct 2013, supervised by Dr. Richard Turner and funded by Schlumberger Foundation. She is mainly interested in approximate inference algorithms. In general she has broad interests in topics including deep learning, transfer learning, information theory, and optimization.

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Thang Bui

Thang received a B.Eng in Telecommunications Engineering from The University of Adelaide, Australia. He joined the group in October 2013, supervised by Richard Turner. He is interested in probabilistic methods for signal processing.

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Mark van der Wilk

Mark received an MEng in Information and Computer Engineering from the University of Cambridge in 2012, after moving to Cambridge from the Netherlands to study Engineering in 2008. He joined the group in October 2012, supervised by Carl Rasmussen and is funded by an EPSRC Doctoral Training Award. He is a member of Jesus College.

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Rowan McAllister

Rowan McAllister received a B.Eng, B.Sci. and M.Phil in Mechatronics Engineering from the University of Sydney. He started his PhD in October 2012 with Carl Rasmussen and is funded by the University of Sydney and Kings College.

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Sébastien Bratières

I received my “Ingénieur” degree from Ecole Centrale Paris, and an MPhil in Computer Speech and Language Processing from the University of Cambridge in 2001. I have been working in the speech industry ever since, and started my PhD on a part-time basis in 2009. In my professional life, I am the resident Speech Evangelist [...]

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