As a post-doctoral researcher at Erasmus MC I work on the development of novel methodology with a focus on joint models for longitudinal & time-to-event data. More specifically, during the course of my PhD at the Department of Biostatistics and the Department of Thorax Surgery at the Erasmus University Medical Center I worked on the development of joint models that can incorporate intermediate events (such as treatment changes, side-effects etc.) and time-varying treatments during follow-up as well as the development of individualized dynamic prediction tools which are adaptive to future changes regarding the occurrence of intermediate events or/and treatment changes. This work was done under the supervision of Prof. Dimitris Rizopoulos, Prof. Johanna J. M. Takkenberg and Dr. Mostafa M. Mokhles. Currently, I continue my research and I am focusing on joint modeling of multiple longitudinal and multi-state processes. I also work closely with Prof. Dimitris Rizopoulos and Pedro M. Afonso in the development of R package JMbayes2
Apart from research, I also work as a consultant and teaching assistant for the Department of Biostatistics. As a consultant, I provide advice on a broad range of statistical, study design, statistical software and methodological questions for various departments of Erasmus MC via the Consultation centre for Patient-Oriented research (CPO). This often leads to extended collaborations and deeper involvement in research projects.
As of mid-2019, I am also glad to be part of the NIHES Innovation Team. My role is to support teachers in developing online versions for their courses. Our goal is to expand the overall educational experience for the students by exploiting the flexibility, interactivity and creativity of state-of-the-art e-learning tools.
At the beginning of 2021, I was glad to become part of CBG-MEB as a methodology assessor.
PhD in Biostatistics, 2021
Erasmus University Medical Center
MSc in Statistics, 2015
BSc in Statistics & Actuarial Science, 2011
Univeristy of Piraeus
The package JMbayes2 fits joint models for longitudinal and time-to-event data. It can accommodate multiple longitudinal outcomes of different type (e.g., continuous, dichotomous, ordinal, counts), and assuming different distributions, i.e., Gaussian, Student’s-t, Gamma, Beta, unit Lindley, censored Normal, Binomial, Poisson, Negative Binomial, and Beta-Binomial. For the event time process, right, left and interval censored data can be handled, while competing risks and multi-state processes are also covered.
JMbayes2 fits joint models using Markov chain Monte Carlo algorithms implemented in C++. Besides the main modeling function, the package also provides a number of functions to summarize and visualize the results.
“ Random words of wisdom in curly quotes ”
rQuote is an R-package that I developed while trying to teach myself how to develop R-packages. Doing so allowed me to practice the extensive online book on R-package development by Hadley Wickham and to learn how to create a website for my package using pkgdown. On the same time I was able to learn some web-scraping with rvest and improve my regex skills. It also made this whole process fun and creative. Most importantly, though, I got to read many random quotes. Too many random quotes. Definitely more than I should.
You can download my full CV here: CV
(Last Update: 24/02/2022)