Adam Štefunko

Main Research Interests

music information retrieval, digital musicology, music generation, computer science, machine learning, computational neuroscience, basso continuo analysis

Projects

Ph.D. topic: Computational models of harmonic accompaniments

• supervisor: Jan Hajič jr., Ph.D.

Curriculum Vitae

EDUCATION

2015 – 2018    Comenius University in Bratislava

Faculty of Mathematics, Physics and Informatics

Bc., Computer Science

Final thesis: Electronic Election System for Academic Senate

 

2018 – 2020    Comenius University in Bratislava

Faculty of Mathematics, Physics and Informatics

M.Sc., Cognitive Science

Final thesis: Testing Independence of Compte's Spatial Working Memory Model from the Neuron Model

2019 – 2020    Winter semester: Erasmus+ mobility at Faculty of Education, University of Ljubljana

 

2020 – 2023    Janacek Academy of Music and Performing Arts in Brno

Faculty of Music

B.A., Harpsichord and historical keyboard instruments

Final thesis: Transcriptions and treatises as a source for thorough-bass realization of selected movements of Francesco Geminiani's violin sonatas

2022 – 2023    Winter semester: Erasmus+ mobility at the Anton Bruckner Private University of Music and Performing Arts in Linz

 

WORK EXPERIENCE

2016 – 2019    Internship at the Faculty of Mathematics, Physics and Informatics, Comenius University

2020                internship at Nokia Slovakia, a.s.

2020 – 2022    harpsichord accompanist and basso continuo teacher at the Janacek Academy

2021 – 2023    primary school of arts piano teacher in Brno

 

MUSIC EXPERIENCE

Chamber, orchestral and solo experience as a harpsichord and recorder player

Collaboration with ensembles as a harpsichord player: Musica aeterna, Il cuore barocco, Slovak Youth Orchestra

Appearance at festivals: “Barbara Maria Willi is presenting…”,  “Concentus moraviae”, “Musica barocca”

Music composition: 2^nd prize at Artistes en herbe 2015,

 

PROGRAMMING SKILLS

Python, C++, Java, bash, Assembly

 

LANGUAGE SKILLS

English: C1

German: B1

French: A2

 

MISCELLANEOUS

Interests: fitness, swimming, cycling, piano

Class B driver’s licence

Selected Bibliography

• Google Scholar
• ORCID: 0009-0001-3201-9983

A. Štefunko, ‘Modeling the Spatial Working Memory Employing the Simple Model of Spiking Neurons’, in MEi: CogSci Conference, 2020, p. 98. Available online: https://ssc-phil.univie.ac.at/fileadmin/user_upload/s_philosophie/Studien/MA_MeiCogSci/MEiCogSci-Conference-2020-Proceedings.pdf#page=103