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I enjoy learning about biological, psychological and social phenomena and investigating them through the lens of mathematics.
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Education
2023 - present
PhD in Mathematical Modelling
University of Patras
2019 - 2021
MSc in Applied Mathematics
Hellenic Open UniversityThesis: Mathematical Modelling of Immune Response in Breast Cancer
2013 - 2018
BSc in Mathematics
National and Kapodistrian University of AthensFind me on social media.
Projects
Personal Portfolio Website
A highly customized static site built with Material for MkDocs, featuring dynamic BibTeX parsing, rotating bento grids, and a neon-glassmorphism aesthetic.
Publications
Partial dependence of ultrasonically estimated fetal weight on biometric parameters
Accurate assessment of estimated fetal weight (EFW) is crucial in obstetrics, yet the exact contribution of biometric parameters in sonographic formulas remains...
An age-structured SVEAIR epidemiological model
In this paper, we introduce and study an age-structured epidemiological compartment model and its respective problem, applied but not limited to the COVID-19 pa...
A novel comparison framework for epidemiological strategies applied to age-based restrictions versus horizontal lockdowns
In this paper, we introduce and study an age-structured epidemiological compartment model and its respective problem, applied but not limited to the COVID-19 pa...
From primary HPV infection to carcinoma in situ: A mathematical approach to cervical intraepithelial neoplasia
Cervical intraepithelial neoplasia (CIN) is the development of abnormal cells on the surface of the cervix, caused by a human papillomavirus (HPV) infection. Al...
A mathematical study of the role of tBregs in breast cancer
A model for the mathematical study of immune response to breast cancer is proposed and studied, both analytically and numerically. It is a simplification of a c...
Blog
Building a Clean Data Loading Stack: Kestra, Terraform, and the Art of Not Repeating Yourself
Integrate a data loading pipeline with Terraform and Kestra through Docker and a Makefile. It solves the common problem of manual configuration by using Terraform outputs to dynamically generate environment variables, ensuring a 'Single Source of Truth' for infrastructure and orchestration.
Introduction to Terraform
A step-by-step walkthrough for setting up Terraform to manage Google Cloud Platform (GCP) resources. It covers project creation, service account security, variable management in HCL (HashiCorp Configuration Language), and the lifecycle of a Google Cloud Storage (GCS) bucket.
The Modern Data Architect’s Guide to Google BigQuery
This guide provides an intro to Google BigQuery. It explains the separation of storage and compute, the benefits of columnar storage, and practical optimization techniques like partitioning and clustering to manage large-scale datasets efficiently.
The Architect’s Blueprint: Navigating Data Hierarchies in GCP and AWS
A comparative guide for data professionals navigating the structural differences between Google Cloud Platform (GCP) and Amazon Web Services (AWS). It focuses specifically on how these platforms organize data within Data Lakes and Data Warehouses, emphasizing the philosophical differences between GCP’s 'Project-centric' model and AWS’s 'Account-centric' model.
Introduction to Data Warehousing
Explore the fundamentals of data architecture, comparing high-speed OLTP systems used for daily transactions with analytical OLAP environments like Data Warehouses, Data Marts, and Data Lakes. The guide explains the mechanical differences between row-oriented and column-oriented storage and evaluates ETL versus ELT plumbing strategies for moving and cleaning data.
Talks
Can age-based restrictions replace horizontal lockdowns?
A novel epidemiological age-structured model and a scheme for comparing different epidemiological strategies are introduced, and applied to COVID-19 as a means of comparing horizontal to age-based lockdowns.
Unveiling the drivers of fetal weight estimation: which ultrasound measurements matter most?
The contribution of the involved biometric parameters of popular fetal weight estimation formulas is assessed using diverse datasets, sensitivity analysis and bootstrapping.
Data-Driven Dynamics: Learning Vector Fields for Epidemic Forecasting with Neural ODEs
We present neural ODEs and gain intuition on how they work. We also compare their forecasting capabilities against compartmental ODE models in real epidemiological scenarios.
Mathematical models of immune response in cancer
An introduction to cancer and immune system modeling using Ordinary Differential Equations.
Mathematical modeling of immune response in breast cancer: the effect of tBregs and rituximab
Two novel models examining the way breast cancer interacts with immune cells are presented.