Assoc. Prof. Dr. Tadas Žvirblis
Department: Interdisciplinary Statistical Research Group
Position: Researcher, Project Senior Researcher
Address: Akademijos st. 4, room 604A, Vilnius
Tel.: +370 655 71481
E-mail:
Scientist profile: CV 
Scientific qualification
2004-2008: Bachelor of Statistics
2008-2010: Master of Statistics
2018-2022: Doctor of Technology
Moksliniai interesai
Biostatistics:
- standardization of biomedical data
- preparation of a statistical analysis plan for biomedical research
- regression models
- survival analysis
- natural language models for unstructured data
- medical image processing
Statistics in mechanical engineering:
- prognostic and classification models
- application of artificial intelligence algorithms
Scientific publications
Publications with Institute of Data Science and Digital Technologies affiliation
Proktinė veikla DMSTI
| Period | Project name | Project No. | Position |
| 2023–2026 | Resolving complex outcomes in 15q13.3 copy number variants using emerging diagnostic and biomarker tools | S-EJP RD-23-1 | Senior Researcher |
| 2022–2024 | Development of artificial intelligence methods for prediction and classification of mechatronic systems parameters | P-PD-22-036 | Postdoctoral fellow |
Ph.D. Supervision
- Dissertation topic: Development of deep learning methods for depression diagnosis based on EEG signal analysis
- Science field: Informatics (N 009)
- Doctoral supervisor:
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- From 2023-10-01 to 2025-02-11: Dr. Jolita Bernatavičienė
- From 2025-02-12: Dr. Tadas Žvirblis
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- Period of study: 1st October 2023–31th January 2028
- Research object: Deep learning algorithms for classifying electroencephalographic signals.
- Objective: To develop an artificial neural network model for classifying electroencephalograms based on differences in functional connectivity between patients with mental health disorders and healthy subjects.
- Defended: studies continue