I am a Marie Sklodowska-Curie Early Stage Researcher in the MAGISTER consortium which seeks to utilize machine learning to understand and predict thermoacoustic oscillations in aircraft engines or gas turbines. My job, as I see it, is to serve as a liasion between the probabilistic machine learning group led by my PhD supervisor Professor Carl […]
Read more →Jiri Hron joined the PhD programme in October 2017 as a member of Trinity College with financial support of Nokia and EPSRC. He is supervised by Zoubin Ghahramani and advised by Adrian Weller. Google Scholar
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Originally from Hamburg, Germany, Julius studied Mathematics (MSci) at Imperial College London and Artificial Intelligence (MSc) at UPC Barcelona and TU Delft. He joined the Cambridge-Tübingen programme in October 2018 where he is supervised by Adrian Weller in Cambridge and Bernhard Schölkopf at the Max Planck Institute for Intelligent Systems in Tübingen. He is funded […]
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Hey! I am a PhD student at the Machine Learning Group at the University of Cambridge, supervised by Dr Richard Turner, and a member of Christ’s College. Previously, I was a machine learning researcher for Invenia Labs; they solve problems in the fields of machine learning, finance, electricity systems and markets, and complex systems. […]
Read more →Andrew is a PhD student in the Machine Learning Group supervised by Dr Richard Turner, starting in October 2018. He received his BA and MEng in Information and Computer Engineering from the Cambridge University Engineering Department in 2018. He is funded by the Trinity Hall Research Studentship and the George and Lilian Schiff Studentship. His […]
Read more →I am a PhD student in the Machine Learning Group at the University of Cambridge since 2018. I have a broad interest in the field of probabilistic machine learning, especially Bayesian approximate inference methods, Bayesian deep learning, and Gaussian processes. Previously I received BSc in mathematics and a MRes in machine learning and computational statistics […]
Read more →Ross received the BA and MEng degrees in Engineering from the University of Cambridge, specialising in Information and Computer Engineering. His Part IIB Project, Parallelising Sequential Monte Carlo, was completed under the supervision of Dr Sumeetpal Singh in the Signal Processing and Communications Lab. He joined the Machine Learning Group as a PhD student in […]
Read more →David received an MPhil in Machine Learning, Speech and Language Technology from Cambridge University in 2018. Prior to this, David received a BA in Mathematics from Williams College. David began his PhD in 2018 and is supervised by Prof. Carl Rasmussen. David is funded by a Dr. Herchel Smith Fellowship. David is interested in Bayesian […]
Read more →Sebastian is a PhD student in the Machine Learning Group supervised by Prof. Carl Rasmussen. He joined in October 2018, after completing his BA and MEng in Information and Computer Engineering at the Cambridge University Engineering Department. He is funded by a Gates Cambridge Scholarship, and his research interests include approximate inference, Bayesian deep learning, […]
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