Short Bio

I am currently a Computational Medicine fellow (a.k.a mini-PI) at the UCLA Department of Biomathematics. From 2015 to 2018, I did my postdoctoral research at Stanford University with Stephen Montgomery, focusing on the combined effects of age and genetics on gene expression and alternative splicing. Prior to that, I did my PhD in The Netherlands with Jeanine Houwing-Duistermaat and Stefan Boehringer on Statistical methods for genetic association studies with response-selective sampling designs. I have a BSc. in Statistics from the Athens University of Economics and Business.

Research interests

My research interests center on the development of statistical and computational methodologies to examine molecular and cellular mechanisms underlying complex human traits, focusing on issues related to aging. Specifically, I develop methods for joint analysis of multiple types of omics data, such as genomic, epi-genomic, and transcriptomic data, methods for background noise correction in longitudinal omics studies, and likelihood-based methods for more efficient parameter estimation in studies with response-selective sampling designs, such as case- control or family-based studies.


You can find a complete list of my publications on PubMed or Google Scholar