2016 Student Cohort
Jeremias Knoblauch, University of Warwick
Jeremias originally comes from Germany. He obtained his undergraduate and graduate degrees in Econometrics & Operations Research from Maastricht. During his time there, he developed a keen interest for both the practical and theoretical aspects of time series analysis, machine learning, post model selection inference, and asymptotic limit theory. In line with these passions, his bachelor thesis explored common cyclical trends in 150 years of European temperature data using nonparametric trend estimation. Placed in a more theoretical setting, the research in his master thesis project developed an asymptotically valid technique for post model selection inference in infinite-dimensional autoregressions. In his spare time, he is passionate about history, hiking, and Ultimate Frisbee.
Jeremias originally comes from Germany. He obtained his undergraduate and graduate degrees in Econometrics & Operations Research from Maastricht. During his time there, he developed a keen interest for both the practical and theoretical aspects of time series analysis, machine learning, post model selection inference, and asymptotic limit theory. In line with these passions, his bachelor thesis explored common cyclical trends in 150 years of European temperature data using nonparametric trend estimation. Placed in a more theoretical setting, the research in his master thesis project developed an asymptotically valid technique for post model selection inference in infinite-dimensional autoregressions. In his spare time, he is passionate about history, hiking, and Ultimate Frisbee.
Samuel Davenport, University of Oxford
Sam is from the UK but has also lived in Egypt, Poland, Russia and Serbia. He did his undergraduate in Mathematics at Cambridge before going on do Part III maths there, specialising in Statistics. There he obtained a distinction, with an essay entitled: "Statistical Analysis in Neuroimaging Structural Breaks" which involved identifying significant changes in the brain using bootstrapping techniques and looking at multiple hypothesis testing in tree structures. Currently he is working with Professors Tom Nichols and Chris Holmes on developing selective inference methods for correcting for the winner's curse in fMRI using re-sampling and Random Field theory methods. In his free time, Sam enjoys playing squash, debating politics and swing dancing.
Sam is from the UK but has also lived in Egypt, Poland, Russia and Serbia. He did his undergraduate in Mathematics at Cambridge before going on do Part III maths there, specialising in Statistics. There he obtained a distinction, with an essay entitled: "Statistical Analysis in Neuroimaging Structural Breaks" which involved identifying significant changes in the brain using bootstrapping techniques and looking at multiple hypothesis testing in tree structures. Currently he is working with Professors Tom Nichols and Chris Holmes on developing selective inference methods for correcting for the winner's curse in fMRI using re-sampling and Random Field theory methods. In his free time, Sam enjoys playing squash, debating politics and swing dancing.
Giulio Morina, University of Warwick
Giulio is from Italy, where he studied Mathematics at the University of Turin, focusing on Probability Theory. His passion towards Statistics grew stronger through the years, especially when he attended a summer school in Halifax, Canada at Dalhousie University. As a consequence, his master thesis covered both statistical and optimisation real-world problems.
Besides Mathematic and Statistic, Giulio has always been fond of computer science and he had worked as a web developer before joining OxWaSP. Apart from his academic interests, Giulio likes volleyball, travelling, singing and he is fascinated by Japanese culture.
Giulio is from Italy, where he studied Mathematics at the University of Turin, focusing on Probability Theory. His passion towards Statistics grew stronger through the years, especially when he attended a summer school in Halifax, Canada at Dalhousie University. As a consequence, his master thesis covered both statistical and optimisation real-world problems.
Besides Mathematic and Statistic, Giulio has always been fond of computer science and he had worked as a web developer before joining OxWaSP. Apart from his academic interests, Giulio likes volleyball, travelling, singing and he is fascinated by Japanese culture.
Dominic Richards, University of Oxford
Dominic completed a Masters’ degree in MORSE (Mathematics, Operation Research, Statistics and Economics) at the University of Warwick prior to joining the OxWasp program. Currently, he is interested in Sequential Monte Carlo Methods, completing a dissertation focused on constructing sequences of distributions through combinations of data and density tempering. Dominic is keen to learn about wider applications of statistics to industry, building upon his internship experiences in Quantitative Finance and Actuarial Reserving. In his free time Dominic enjoys running, reading and coffee.
Dominic completed a Masters’ degree in MORSE (Mathematics, Operation Research, Statistics and Economics) at the University of Warwick prior to joining the OxWasp program. Currently, he is interested in Sequential Monte Carlo Methods, completing a dissertation focused on constructing sequences of distributions through combinations of data and density tempering. Dominic is keen to learn about wider applications of statistics to industry, building upon his internship experiences in Quantitative Finance and Actuarial Reserving. In his free time Dominic enjoys running, reading and coffee.
Petya Kindalova, University of Oxford
Petya comes from Bulgaria where she attended the National High School of Mathematics and Natural Sciences. In 2011, Petya moved to Scotland to study at the University of Glasgow and in 2016 she successfully graduated Integrated Masters programme in Statistics with a year in industry. Working as an information analyst for a year in the National Health Service Scotland inspired her to do a DPhil in Statistics with application in public health. In particular, Petya is interested in Bayesian statistics and Genetics which led to her dissertation being focussed on identifying an appropriate model for correlated data suitable for data generated from experiments to study DNA methylation.
Petya comes from Bulgaria where she attended the National High School of Mathematics and Natural Sciences. In 2011, Petya moved to Scotland to study at the University of Glasgow and in 2016 she successfully graduated Integrated Masters programme in Statistics with a year in industry. Working as an information analyst for a year in the National Health Service Scotland inspired her to do a DPhil in Statistics with application in public health. In particular, Petya is interested in Bayesian statistics and Genetics which led to her dissertation being focussed on identifying an appropriate model for correlated data suitable for data generated from experiments to study DNA methylation.
Arne Gouwy, University of Warwick
Arne obtained a BSc and MSc in mathematics at Ghent University in Belgium. Initially focusing more on functional analysis, he discovered the fields of stochastic processes and stochastic analysis during an Erasmus exchange with the University of Bonn. Interested in using this background to work on problems posed by technological and scientific advances needing automated solutions on large scale data sets, he was stimulated further by a variety of subjects in stochastic filtering and machine learning. This included an internship focusing on Bayesian optimization methods. In his free time, Arne enjoys running, cycling, swimming and reading.
Arne obtained a BSc and MSc in mathematics at Ghent University in Belgium. Initially focusing more on functional analysis, he discovered the fields of stochastic processes and stochastic analysis during an Erasmus exchange with the University of Bonn. Interested in using this background to work on problems posed by technological and scientific advances needing automated solutions on large scale data sets, he was stimulated further by a variety of subjects in stochastic filtering and machine learning. This included an internship focusing on Bayesian optimization methods. In his free time, Arne enjoys running, cycling, swimming and reading.
Virginia Aglietti, University of Warwick
Virginia is from Italy. She obtained her MSc in Economic and Social Sciences at Bocconi University. Her master dissertation focused on the problem of nowcasting an official economic statistic using web searches data. In particular, she studied how statistical techniques for variable selection can be extended to deal with high dimensionality and time series data. After graduation, she worked at the research departments of the International Labour Organisation and of the Bank of Italy. Her work, focused primarily on data analysis and on R programming, further enhanced her interest in statistics and influenced her decision to join OxWaSP. Virginia is particularly interested in applied statistical methods and machine learning techniques. In her free time, she enjoys travelling and hanging out with friends.
Virginia is from Italy. She obtained her MSc in Economic and Social Sciences at Bocconi University. Her master dissertation focused on the problem of nowcasting an official economic statistic using web searches data. In particular, she studied how statistical techniques for variable selection can be extended to deal with high dimensionality and time series data. After graduation, she worked at the research departments of the International Labour Organisation and of the Bank of Italy. Her work, focused primarily on data analysis and on R programming, further enhanced her interest in statistics and influenced her decision to join OxWaSP. Virginia is particularly interested in applied statistical methods and machine learning techniques. In her free time, she enjoys travelling and hanging out with friends.
Jack Carter, University of Warwick
Jack is from Sussex and did his undergraduate degree at the University of Warwick studying MORSE where he learnt about a wide range of topics in statistics. His dissertation looked at the gene expression profiles of arthritis patients and how they can be used to improve diagnosis and treatment decisions. This involved preprocessing the gene expression data before conducting differential expression analysis to find genes that are expressed differently between different groups of patients. In his spare time Jack enjoy playing football and the guitar, reading and watching tv series.
Jack is from Sussex and did his undergraduate degree at the University of Warwick studying MORSE where he learnt about a wide range of topics in statistics. His dissertation looked at the gene expression profiles of arthritis patients and how they can be used to improve diagnosis and treatment decisions. This involved preprocessing the gene expression data before conducting differential expression analysis to find genes that are expressed differently between different groups of patients. In his spare time Jack enjoy playing football and the guitar, reading and watching tv series.
Emilia Pompe, University of Oxford
Emilia comes from Poland. She graduated from the University of Warsaw, obtaining a master's degree in mathematics. She is a huge fan of the Erasmus programme, in which she participated twice, spending one semester in Copenhagen and one in Edinburgh. Her research interests include Monte Carlo methods and Bayesian statistics and she would like to explore these fields more deeply during her PhD studies. Her master's thesis was related to Bayesian statistics: it concerned applications of the Dirichlet process in clustering. She worked for a year in a market research company, where she gained some hands-on experience with data analysis. In her free time she hikes or goes to the theatre.
Emilia comes from Poland. She graduated from the University of Warsaw, obtaining a master's degree in mathematics. She is a huge fan of the Erasmus programme, in which she participated twice, spending one semester in Copenhagen and one in Edinburgh. Her research interests include Monte Carlo methods and Bayesian statistics and she would like to explore these fields more deeply during her PhD studies. Her master's thesis was related to Bayesian statistics: it concerned applications of the Dirichlet process in clustering. She worked for a year in a market research company, where she gained some hands-on experience with data analysis. In her free time she hikes or goes to the theatre.
