Olga Ovcharenko acquired her Data Science master’s degree from ETH Zurich, Switzerland. In her master thesis, Olga focused on multi-modal single-cell data integration using self-supervised learning. Olga’s interest in data science started during her undergraduate studies at Graz University of Technology, Austria. In her bachelor thesis, Olga built a distributed data generator to scale real datasets preserving statistics and error distribution of the original data. Olga worked on diverse projects with Prof. Valentina Boeva, Prof. Matthias Boehm, and Prof. Theodoros (Theo) Rekatsinas.

Publications

2024

Philip Toma, Olga Ovcharenko, Imant Daunhawer, Julia E. Vogt, Florian Barkmann, Valentina Boeva: Benchmarking Self-Supervised Learning for Single-Cell Data [paper] [poster]. NeurIPS SSL Workshop 2024.

Olga Ovcharenko, Rita Sevastjanova, Valentina Boeva: FeatureClock: High-Dimensional Effects in Two-Dimensional Plots [library] [paper] [slides]. IEEE VIS 2024.

2022

Sebastian Baunsgaard, Matthias Boehm, Kevin Innerebner, Mito Kehayov, Florian Lackner, Olga Ovcharenko, Arnab Phani, Tobias Rieger, David Weissteiner and Sebastian Benjamin Wrede: Federated Data Preparation, Learning, and Debugging in Apache SystemDS [paper]. CIKM 2022.

2021

Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan, Stefan Geißelsöder, Philipp M. Grulich, Michael Hildebrand, Kevin Innerebner, Volker Markl, Claus Neubauer, Sarah Osterburg, Olga Ovcharenko, Sergey Redyuk, Tobias Rieger, Alireza Rezaei Mahdiraji, Sebastian Benjamin Wrede, Steffen Zeuch: ExDRa: Exploratory Data Science on Federated Raw Data [paper]. SIGMOD 2021.

Work Experience

Research Assistant (BoevaLab) - ETH Zurich. Dec 2024 - present
Teaching Assistant (Data Modeling and Databases) - ETH Zurich. Feb - Aug 2023
Teaching Assistant (Quality Assurance in Software Development) - TU Graz. Feb - Jul 2022
Undergraduate Research Assistant - TU Graz. Jul 2020 - Aug 2022
IT Intern - AIT. Feb - Aug 2020
Teaching Assistant (Data Management) - TU Graz. Oct 2019 - Jun 2020

Education

Master of Science, Data Science at ETH Zurich, 2022 - 2024
- Thesis: Contrastive Representation Learning for Single-Cell Multi-Omics Data Integration [thesis]
Bachelor of Science, Computer Science at Graz University of Technology, 2019 - 2022
- Thesis: Large-scale Data Generation for Benchmarking Data Cleaning Tools [thesis]

Other

PMC member of Apache SystemDS, an open-source ML system for the end-to-end data science lifecycle.
Reproducibility reviewer SIGMOD 2024