Prospective PhD students and PostDoc researchers
I am actively looking for PhD students and PostDoc researchers with strong mathematical, statistical or computational backgrounds to join my group. Feel free to contact me directly if you are interested in doing a PhD with me as your supervisor or if you are interested in doing post-doctoral work with me. Please include a CV, a brief research statement, and an outline of the reasons you want to work with me.
Information about doing a PhD in the Department of Statistics at University of Warwick, the application process and funding opportunities can be found at the Department of Statistics webpages.
If you are a current PhD student at a UK institution, the enrichment scheme at the Alan Turing Institute is a good opportunity to join and work from the Turing Institute for 6-12 months. Feel free to contact me if you want and can spend part of your PhD collaborating with me on something related to my research agenda (see below and at my research and software pages). Calls for applications typically appear at the enrichment scheme pages but I will also be posting them above.
For post-doctoral appointments, apart from posts that I may be advertising occasionally, there is typically a range of funding opportunities that can be explored, both ad-hoc and by submitting proposals to research councils. If you are interested in the latter, the earlier that you contact me before your intended start date the better.
Topics of interest
My research interests are both in the theory and methodology of statistical learning and inference, and in the application of statistics in other fields, including sport science, finance, eartquake engineering, neuroimaging, and genomics. I am also particularly interested in the design and development of scientific (and non-only) software.
Feel free to browse my research and software pages for more details on what I am currently interested in and my recent research outputs. Some topics, aspects of which I am especially keen on exploring with PhD students and PostDocs at present are:
- Asymptotic methods for improved estimation and inference in modern modelling scenarios
(e.g. high-dimensional models, functional regression, etc.)
- Dynamic and scalable estimation and inference in regression modelling
- Methods for clustering high-dimensional data
- Data-analytic pipelines and statistical software
- Statistical applications
(of the kind that require non-trivial modelling and can drive developments in methodology for the above topics and more generally)
The above list is in no way exhaustive and you are very welcome to suggest your own projects and ideas. I suggest you also take a look below at what the current PhD students in my group are working on.
Current PhD students and PostDoc researchers
The PhD students currently working in my group are
|Zhenzheng Hu||2017-||jointly with Ioanna Manolopoulou|
|Petya Kindalova||2016-||jointly with Thomas Nichols|
|Santhosh Narayanan||2016-||jointly with Petros Dellaportas|
|Zhongzhen Wang||2016-||jointly with Petros Dellaportas|
Zhengzheng Hu is researching methods for the statistical modelling of binary data that can formally account for and model potential misclassification.
Petya Kindalova is developing statistical methodology for the modelling of brain lesions from MRI data. A particular aim of her work is to develop methods that not only possess statistical optimality guarantees but are also scalable in terms of computing and memory requirements.
Santhosh Narayanan is focusing on a new framework for modelling with stochastic processes and the associated procedures to infer the dynamics of event sequences and predict both the time and the type of the next event. He is looking at applications in team sports and cyber-security.
Zhongzhen Wang is researching ways of inferring significant lags for categorical time series data and forecasting using Bayesian non-parametric methodology with flexible statistical models.
Asma Saleh is investigating the effects that estimation bias and its correction have on inference from statistical models that are used in everyday statistical practice. She is primarily focusing on settings where the most realistic assumptions on information growth about the model parameters are beyond the ones typically encountered in textbooks.
Former PhD students and PostDoc researchers
Researchers that either completed their PhD or spend a significant part of their PhD working with me, and researchers who collaborated with me under post-doctoral appointments are
|Alkeos Tsokos||2015-2019||PhD||(Data Scientist at Deliveroo)|
|Thomas Bartlett||2016-2019||Postdoc||(Assistant Professor at University College London)|
|Gavin Whitaker||2016-2018||PostDoc||(Data Scientist at BDO)|
|Sophia Kyriakou||2014-2018||PhD||(Scientific Collaborator - European University Cyprus)|
|Hannah Frick||2015-2017||PostDoc||(Senior Data Scientist at Mango Solutions)|
|Stylianos Kampakis||2012-2016||PhD||(Freelance Data Scientist)|
|Claudia Di Caterina||2014-2015||visiting PhD||(Assistant Professor - Free University of Bozen-Bolzano)|
|Emmanouil Karimalis||2013-2014||visiting PhD||(Rates Strategist at Barclays Investment Bank)|
More information on supervision of PostDocs, PhD students, and BSc/MSc project students can be found in my CV.