Olympia Dartsi

About me

I started my scientific journey studying physics at the Aristotle University of Thessaloniki. Shortly after completing my M.Sc. degree in computational physics, I moved to the picturesque alpine town of Annecy, France, where I did my PhD in experimental particle physics at CERN. If you’d like to know more, you can find my PhD thesis here.

After finishing my PhD, I made the transition into data science, where I continued applying scientific reasoning to real-world problems. The topics were different, but the core mindset remained the same: Combine theory with data to make sense of complex systems and uncover hidden patterns.

Currently, I’m a Fellow Postdoctoral Researcher at Lawrence Berkeley National Laboratory, working with A-Lab, an autonomous laboratory for materials discovery. My work focuses on combining chemistry, data science, and automation to make sense of complex synthesis and characterization data — blending statistical reasoning, machine learning, and interactive tools. It’s an exciting space where science meets systems thinking.

I revel in the problem-solving aspect, but I don’t want to stop there: Being able to communicate my findings and their theoretical underpinnings to audiences of wildly different backgrounds has always been dear to my heart.

When I’m not sifting through bits and bytes, you’ll often find me running or cycling in the mountains. Apart from a slight obsession with challenges of all kinds, I also just love being outdoors! And then there’s painting, which is my preferred form of meditation — have a look here if you’re curious.

“To learn is a natural pleasure, not confined to philosophers, but common to all men.” Aristotle

Projects

Computer Vision Anomaly Detection

Anomaly detection in MNIST digits using unsupervised learning and evaluates the model's performance with ROC AUC.

Parkinson UPDR-scores Forecasting

Predictions of MDS-UPDR scores, which measure progression in patients with Parkinson's disease.

Time Series Forecasting

Time series forecasting using the ARIMA model.

EDA Cancer Deaths

Exploratory data analysis (EDA) on global death data from 1990 to 2019.

Multi-Armed Bandit

A Multiarmed Bandit algorithm using the UCB algorithm.

Data Imputation

Evaluating different imputation methods for time series datasets to handle missing values.

Google Foobar Challenge 2022

Complete solutions of all levels in Google's secret programming challenge.

Portfolio Projects

A summary of projects I worked on during my PhD and in my current role.

• More projects

Presentations

Knowledge transfer is one of the key aspects of science. I was always driven by outreach activities; I like to simplify and visualise any scientific concept I am working on. A selected sample of my work is given below.

Talk at MRS Spring Meeting 2025

Data Infrastructure for Automated Labs and Framework for Interpretation of Characterization Results.

Artificial Intelligence - Basics

Introduction to artificial intelligence fundamentals.

Neural Networks Introduction

Visual guide to understanding neural network basics.

Data Visualisation Techniques

The basics and more advanced techniques in data visualisation.

From Academia to Data Science

Tips and mindset shifts when transitioning into the data science field.

PhD Thesis Defense

My final PhD presentation summarizing key research contributions.

No More Scrum for Data Scientists

Reflections on how agile methods like Scrum may not fit scientific workflows.

The Ambiguity of Charisma

Exploring how we define and misinterpret charisma in leadership and communication.

Paintings

Visualizations

Interactive Dashboard for Materials Research

🎥 View code on GitHub

EDA Tips in Restaurant Dashboard

Healthcare Data Analysis Dashboard