
Martin Kolařík
Machine learning researcher & Ph.D. Student
Short biography
I was born in 1991 in the town of Znojmo where I attended high school. I choose to go to Brno to graduate from Brno University of Technology in Telecommunications and information technology. After writing my masters thesis in sentiment analysis and NLP text classification, I fell in love with machine learning. My thesis recieved positive reviews and this got me an offer for a Ph.D. programme at the university in the field of machine learning and signal processing under associate professor doc. Ing. Radim Burget, Ph.D. I currently work as a research scientist on projects in applied and fundamental research. My work experiences include both positions in corporate environment and startup companies where I worked during my studies.
I am passionate about new research approaches in the fields of machine learning and data science and I do my best to keep track of current state of the art. In my spare time I enjoy playing the guitar, saxophone and riding & fixing my old motorcycle.
Work experiences
Junior Research Scientist
Brno University of Technology, Oct 2017 – Present
Working as a research scientist on fundamental and applied research projects regarding medical image processing and big data analysis.
Machine learning engineer
BurgSys, a.s., Sep 2018 – Jan 2020
Development of segmentation and novelty detection algorithms for industrial computer vision platform.
Junior developer
Asseco Central Europe, a.s., May 2017 – Apr 2018
Part of the docker delivery team, working with Docker, linux and basic web development support.
Research experiences
TAČR NV18-08-00459, 2018 – 2021
Project focused on developing segmentation algorithms for human spine imaging techniques, developing and 3D printing models of patients spines for pre-operation examination and modelling of gravitational forces on deformed spines.
MPO reg. no. FV20044, with 3S, s.r.o., 2017 – 2020
Development and design of expert system for automatic management of large data repositories using predictive analysis from unlabelled big data.
Education
Ph.D. in machine learning and data science
Brno University of Technology
2017 – 2021 (expected)
My PhD study (ongoing) is focused on efficient learning methods for 3D medical image processing. I am currently focusing on transfer learning for 3D convolutional neural networks and beginning research in parameter efficient equivariant networks for semantic segmentation.
Master’s degree (Ing.) in Telecommunications and information technology
Brno University of Technology
2014 – 2017
Title of the Thesis „Deep Learning for Text Classification“. Thesis was focused on text sentiment binary classification using convolutional neural networks. Ing. is Czech equivalent of international title MSc.
Bachelor’s degree in Telecommunications and information technology
Brno University of Technology
2011 – 2014
Title of the Thesis „Programmable MIDI Controller“.
Skills
Key skills:
Machine learning, Python, Java, OOP, Image Processing, Data Science
Tools & Technologies:
Git, SVN, HTML, Docker, Linux, Keras, Tensorflow, Deep Neural Networkss