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”Nothing is more practical than a good theory” © Kurt Lewin

  • Leading Researcher at Brain Diseases Analysis Laboratory
  • AI Engineer at Inventurist.ai
  • Co-Founder of ACAI.AI
  • ORCID ID 0000-0002-8978-351X

Professional Profile

I finished my doctoral degree in digital signal processing and informatics at the Brno University of Technology in 2018. Since 2014 I have been working at Brain Diseases Analysis Laboratory where I became excited about advanced signal processing and machine learning applied in the field of neurosciences. Since 2017 I have also been working at Inventurist.ai where I discovered the beauty of natural language processing and AI/data driven product development.

Personal Profile

Besides my professional career, I love bouldering, snowboarding, traveling, playing guitar, reading, computer games from time to time, and many other things. Few years ago, I founded my Dragon Boat team Drakkar and we have been attending competitions around Slovakia every year with success. In the future, I plan to travel with my wife as we both love visiting new interesting places with rich culture, history and great local food (well, and beer in my case).

My resume Research


Machine Learning

Advanced, 5 years

Signal Processing

Advanced, 6 years

Python Language

Advanced, 5 years

Data Analysis

Advanced, 5 years


Biomedical Research

  • Digital Signal Processing
  • Parkinson's Disease
  • Developmental Dysgraphia
  • Health 4.0

Industrial Programming

  • Pythonic Programming
  • Agile Development
  • Modern Design Patterns
  • Unit Testing

Data Science

  • Natural Language Processing
  • Applied Machine Learning
  • Data Visualization
  • Statistics


  • Sequence Models (2019)
  • Convolutional Neural Networks (2019)
  • Structuring Machine Learning Projects (2019)
  • Improving Deep Neural Networks (2019)
  • Neural Networks and Deep Learning (2019)
  • Machine learning (2017)


Slovak / Czech Native
English Experienced
French Basic




2018 - present
Co-founder of a pool of experts from academia and industry with expertise in modern technologies and artificial intelligence for commercial projects and applications.

AI Engineer

2017 - present
Development of an AI-based solution for de-risking new product development and introduction using applied machine learning and natural language processing.

Leading Researcher

2015 - present
Research and development of non-invasive, objective methodology and tools for identification and monitoring of neurodegenerative and neurodevelopmental disorders.


2013 - 2014
Development of the analytical backend of UNITEUS Social Cloud that was built to enable gathering, sharing and spreading information as well as discovering and uniting people with similar interests.


Ph.D. degree


2014 - 2018
At the Brno University of Technology. Final thesis was Assessment of Parkinson's disease based on the acoustic analysis of hypokinetic dysarthria.
M.Sc. degree


2011 - 2014
At the Brno University of Technology. Final thesis was Analysis of hand-written text of patients with neurological disorders (dean's price).
B.Sc. degree


2008 - 2011
At the Brno University of Technology. Final thesis was Calculation of speech rate.
High School

General Knowledge

2004 - 2008
Gymnasium of Jan Botto, Trnava, Slovak Republic. Finished with excelent marks.


University of Arizona


2018, 6 months
At the Health Sciences, Department of Neurology, University of Arizona, Tucson, Arizona, USA.
SC UniVie


2017, 1 month
At the Research Group for Scientific Computing, Faculty of Computer Science, University of Vienna, Austria.


2016, 1 month
At the Instituto para el Desarrollo Tecnologico y la Innovacion en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Spain.
NeuVox UPM


2015, 1 month
At the Neuromorphic Speech Processing Lab, Facultad de Informatica, Universidad Politecnica de Madrid, Spain.


Technology Agency

Applied Research

2020 – 2024
Software for advanced diagnosis of graphomotor disabilities in children population.
Ministry of Health

Applied Research

2020 – 2023
Diagnostics of Lewy body diseases in prodromal stage based on multimodal data analysis.

Applied Research

2019 – 2022
Development of an integrated concept for the deployment of innovative technologies and services allowing independent living of frail elderly.
Czech Science Foundation

Basic Research

2018 – 2020
Research of advanced developmental dysgraphia diagnosis and rating methods based on quantitative analysis of online handwriting / drawing.
Horizon H2020

Applied Research

2017 - 2021
Novel network-based approaches for studying cognitive dysfunction in behavioral neurology.
Ministry of the Interior

Applied Research

2017 - 2020
System for centralized supervision of complex and large objects of state's critical infrastructure.
Ministry of Health

Applied Research

2016 - 2019
Effects of non-invasive brain stimulation on hypokinetic dysarthria, micrographia, and brain plasticity in patients with Parkinson's disease.
Technology Agency

Applied Research

2015 - 2017
Intelligent telematics information system of public transportation in the Czech Republic II.
European Cooperation

Applied Research

2015 - 2016
Primary and secondary biometric and non-biometric features for de-Identification and privacy protection in multimedia content.
Ministry of Health

Applied Research

2012 - 2015
Speech, its disorders and cognitive function in idiopathic Parkinson's disease.


Let's Keep In Touch

If you find any of my work or research interesting, if you would like to discuss about a cooperation, if you think of any common project, presentation or workshop, or if you have any questions, please feel free to contact me and let's set up some time to put our heads together and discuss about it. Thank you, Zoltan.