Department Archives: Research

Zoubin Ghahramani

Zoubin works with Invenia as an advisor. He is also a professor of Information Engineering at the University of Cambridge, where he leads the Machine Learning Group consisting of about 30 researchers, and the Cambridge Liaison Director of the Alan Turing Institute, the UK’s national institute for Data Science. His academic career includes concurrent appointments […]

Will Wilkinson

Will received his PhD in Computer Science from Queen Mary University of London in 2019, after which, he spent 2.5 years as a postdoctoral researcher in Machine Learning at Aalto University, Finland. His research interests lie at the intersection of machine learning and signal processing, with a focus on statistical inference for spatio and spectro-temporal […]

Will Tebbutt

Will is currently a PhD student in the Machine Learning Group at the University of Cambridge. He is interested in probabilistic models for spatio-temporal phenomena, in particular Gaussian processes. He occasionally advises on specific machine learning problems at Invenia. When not working, he can be found playing the guitar, or listening to people play it […]

Wessel Bruinsma

Wessel is currently a PhD student at the University of Cambridge. He holds an MPhil in Machine Learning and Machine Intelligence also from the University of Cambridge. At Invenia, Wessel researches machine learning and investigates applications thereof. His main research interests include probabilistic modelling, Bayesian nonparametrics, approximate inference, and signal processing.

Tomisin Dada

Tomisin recently completed the MPhil in Advanced Computer Science at the University of Cambridge. He has previously worked as a Project Engineer in Nigeria and completed his Bachelors in Electrical Engineering at Imperial College. Tomisin believes Machine Learning has a large role to play in building an equitable, secure and sustainable power grid. In his […]

Simon Nakach

Simon Nakach has a PhD in Theoretical physics from Imperial College, where he studied how symmetry can lead to the next theory of particle Physics. After his PhD he spent two and a half years working on a range of Machine Learning projects ranging from Computer Vision to time series forecasting as a Data Scientist. […]

Sean Lovett

Sean received his PhD in computational physics from the University of Cambridge, where he worked on adaptive meshing methods in computational fluid mechanics. Since then, he has worked as a research scientist in R&D for the oil and gas industry, where his research interests included complex fluids, reduced-order models, and the application of statistical modelling […]

Rory Finnegan

Rory Finnegan joined Invenia as a Computer Science co-op and Linux enthusiast with a background in Bioinformatics and Human-Computer Interactions. In 2016, Rory completed a Master’s degree in Computational Neuroscience and is now working towards his PhD.

Raphael Saavedra

Raphael received his MSc and BSc degrees in Electrical Engineering with an emphasis in Operations Research from the Pontifical Catholic University of Rio de Janeiro. He previously worked in projects with major electricity distribution companies with the goal of forecasting demands and optimizing contracts. He is also a Julia programmer and contributes to open- source […]

Miha Zgubič

Miha, originally from Slovenia, is a theoretical physicist by training and holds an MSci degree from Imperial College London. After completing his Masters, he moved to the countryside to pursue a PhD at the University of Oxford where he analysed the data from the Large Hadron Collider at CERN searching for a rare decay of […]