Tetiana Martyniuk

MSc in Data Science and a Researcher at The Machine Learning Lab
Research interests: computer vision, deep learning, topology.

Scholar · GitHub · LinkedIn · Kaggle

Ukrainian Catholic University, 2017 — 2019
MSc in Data Science

Ivan Franko National University of Lviv, 2013 – 2017
BSc in Geometry & Topology, GPA: 5.0/5.0

Let’s Enhance, ML Researcher, 2018 – Present

Worked on image and video restoration tasks: super-resolution, colour and tone enhancement, noise removal in particular. Were responsible for the entire research process, including data gathering and preparation, creating models and measuring their performance, deploying the solutions.

ELEKS, Junior Data Scientist, 2017 – 2018

Worked on several ML projects: anomaly detection, NLP and CV tasks in particular. Approached the business problems of diverse scopes within different industries using statistics and data engineering. Developed machine learning models, improved accuracy of existing systems by enriching them with advanced analytical approaches.

Assistant, Faculty of Applied Sciences, Ukrainian Catholic University, 2016 – 2018

Contributed to Linear Algebra, Probability & Statistics, and Algorithms & Data Structures courses.

DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better, 2019 (paper|code)
O. Kupyn, T. Martyniuk, J. Wu, Zh. Wang
arxiv preprint, accepted to ICCV

Multi-task learning for image restoration, 2019 (paper|code)
T. Martyniuk
Master Thesis at UCU

Kuratowski monoids of n-topological spaces, 2015 (paper)
T. Banakh, O. Chervak, T. Martynyuk, M. Pylypovych, A. Ravsky, M. Simkiv
Topological Algebra and its Applications