Members

Wenkai is a postdoc research associate in the department of statistics. His research interest includes Stein’s method, kernel method, hypothesis testing and statistical inference beyond Euclidean data. His current work focuses on characterising and assessing random graph models and deep generative models via Stein’s method. He completed his Ph.D. in the Gatsby Computational Neuroscience Unit under the supervision of Prof. Arthur Gretton and Prof. Aapo Hyvarinen (thesis can be found here). Prior to that, he completed MMath in Mathematics and Statistics at the University of Oxford.

Gholamali received the B.Sc. degree in electrical engineering from Amirkabir University, Tehran, Iran, in 2010, and M.Sc. and Ph.D degrees in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2012 and 2017, respectively. He is awarded the Newton international Fellowship by Royal Society and he was Honorary Research Fellow at UCL under supervision of Prof. Miguel Rodrigues. From July 2022, he joined the Alan Turing Institute in FAIR project as research associate working on RL, Graph Neural Networks and Stability analysis.

Anastasia is a postdoc research associate at the Alan Turing Institute. Her research interests include network analysis, Bayesian methods and topic modelling. Her research has been applied on networks emerging from various scientific fields such as Neuroscience, Ecology and Computer Science (human tracking systems). She is currently working on network time series data with application on Economics, under the Economic networks and transaction data project in the Alan Turing Institute in collaboration with the Office for National Statistics (ONS). Prior to that, she was a Research Assistant in statistical cyber-security at Imperial College London under the supervision of Prof. Nick Heard. She completed her PhD in Statistics at Lancaster University under the supervision of Dr. Simon Lunagomez, Dr. Robin Mitra and Prof. Paul Fearnhead (thesis can be found here).

Anum is a DPhil candidate at the department of statistics, University of Oxford, and lecturer in the statistics department, at Lahore College for Women University, Lahore (currently on study leave). Her research interests include Stein’s method, network models and probability distributions. Currently, she is working on Stein’s method and networks under the supervision of Professor Gesine Reinert. Before, that she worked with probability distributions. Her publications can be found here. In her MS in Statistics at Lahore College for Women University, Lahore she worked on Generalized Poisson-Exponential distribution; in her BS in Statistics, she worked on Distributional properties of Generalized order statistics for Extended-Exponential distribution.

Roxanne is a DPhil student in the Department of Statistics supervised by Prof. Gesine Reinert. Her research interests include networks, computational biology and statistical modelling. She currently works on weak attacks in biological networks, using both theoretical methods and simulations to understand how weak attacks affect key statistics in random networks. Previously, she completed her MPhil in computational biology at the University of Cambridge, and her bachelor’s in mathematics at Imperial College London.

Tadas is a fourth year PhD student at the Department of Statistics, University of Oxford. He is supervised by Gesine Reinert and Vidit Nanda. Previously, he has worked as a Machine Learning Engineer at PolyAI and DigitalGenius. Before that, he studied Mathematics and Philosophy at Oxford. His interests lie at the intersection of applied topology, probability, and statistics, especially with applications to analysis of non-Euclidean data.

Yixuan is a third year PhD student at the Department of Statistics, University of Oxford. She is also a Clarendon Scholar at University of Oxford. She is supervised by Gesine Reinert and Mihai Cucuringu. Previously, she obtained her bachelor’s degree in Mathematics and Statistics at the University of Edinburgh and bachelor’s degree in Mathematics and Applied Mathematics at South China University of Technology. During her undergraduate studies, she went on an exchange programin Spring 2018 to University of California, Berkeley and conducted summer research in 2019 in University of California, Los Angeles. Her interests lie at graph neural networks.