• Yulia Draginda

    Data Scientist

    Music technology researcher

  • Yulia Draginda

    Concert organist

About me

I'm a professional data scientist and a music technology researcher, as well as an international concert organist and the Main Organist at the St. John the Evangelist Anglican Church.

My current research interests are in the field of music information retrieval, artificial intelligence and computer simulation of expressive organ performance.

My doctoral project at the McGill University, "Temporal elasticity as the main tool for expressive performance of German late Romantic organ music," was funded by the prestigious FRQSC grant and CIRMMT Award.

Concert career

I have an extensive concert repertoire, from Renaissance till Avantgarde, with the main focus on the German late Romantic organ music. Among others, I worked together with Basel symphony orchestra (Switzerland), symphony orchestra and choir of the "Helicon"-Theatre (Moscow, Russia), brass player's ensemble under the direction of Wolfgang Bauer (Stuttgart, Germany), jazz orchestra "VolgaOrchestra" (Volgograd, Russia), and baroque ensemble "Alta Capella" (Moscow, Russia). My concert activity led me through the Russian cities, then to Germany, Switzerland, Spain, Italy, Poland, the USA and Canada.


Postgraduate Diploma in Data Science, Deep Learning and Artificial Intelligence

University of Artificial Intellingence (Wilmington/Mocsow)
Program Level: Ultra Pro

My music degrees

  • Doctor of Music, McGill University, Schulich School of Music, Montreal, Canada
    Organ class Prof. Hans-Ola-Ericsson, 2017-2021
  • Master of Arts with distinction, Basel Music Academy, Switzerland
    Organ class Prof. Martin Sander, 2013-2015
  • Master of Music, State University of Music and Performing Arts, Stuttgart, Germany
    Organ class Prof. Ludger Lohmann, 2010-2012
  • Diploma in organ performance with distinction, Moscow Tchajkowsky Conservatory, Russia
    Organ class Prof. Alexey Semionov, 2005-2010

My research background

  • Postgraduate Diploma in Data Science, Deep Learning and Artificial Intelligence
    University of Artificial Intellingence (Wilmington/Mocsow), 2021-present
  • Doctoral thesis "Temporal elasticity as the most important tool for expressive performance of German late Romantic organ music"
    Centre for Interdisciplinary Research in Music Media and Technology (CIRMMT), Montreal, Canada, 2017-2021 (download full text)
  • Ph. D. in Physics and Mathematics (Russian Academy of Sciences, A.V. Shubnikov Institute of Crystallography), 2008-2013
    Ph. D. Thesis " Electrooptic Properties of One-Dimensional Photonic Crystals Based on Organic Ferroelectric and Dye"
    (full text available in Russian)
  • Diploma cum laude in Physics
    Moscow State Lomonosov University, 2002-2008

  • Download my list of publications

My IT Certificates

  • Machine Learning Certificate by Stanford University (Coursera, 2020)
  • Data Science and neural networks Certificate by Moscow AI University (2021, in Russian)
  • Deep Learning Specialization Certificate by deeplearning.ai (Coursera, 2020)
  • Full-Stack Web Development Certificate by Codestars (Udemy, 2020)
  • Angular for Web Application Certificate by Zenva Academy (2020)
  • Introduction to ASP.NET MVC Certificate by Complete Coder (2019)
  • Introduction to C# Certificate by Complete Coder (2019)
  • Wordpress Certificate by SAT, Montreal, Canada, 2019
  • Cambridge Certification Authotity (CCA) Certificates in:
    PHP, MySQL (2018)
    Javascript, jQuery (2018)
    HTML, CSS (2017/2018)

Featured concerts

November 25th 2022

St. John the Evangelist
Church, London, Canada
(with Susan Millar Boldissar, cello)

October 24th 2021

Le Grand Séminaire, Montreal,


October 17th 2020

CIOC Virtual Organ Festival, Montreal,


July 24th 2019

Evangelische Predigerkirche, Erfurt,


June 7th 2019

The Most Holy Rosary Church,
Syracuse, USA


April 26th 2019

Church of St. Andrew and St. Paul
Montreal, Canada


Recent research projects

Short Summer projects
August 2021 (AI University Assignments)

Project 1: Orchestral groups and music instruments recognition with Deep Neural Networks
Project 2: Reconstruction of audio files from the latent space with Variational Autoencoders (model based on Mel-frequency spectrograms)

DNN classifier: Notebook

VAE: Notebook

First Steps Towards Modelling Expressive Timing in German Late Romantic Organ Music
21st International Society of Music Information Retrieval Conference, October 11–15, 2020 (Late-Breaking Demo session)

Abstract: The present study introduces a mathematical model for the symmetric phrasing scheme of German musicologist Hugo Riemann (1849–1919). The model is used to create an artificially expressive timing pattern in Max Reger’s (1873–1916) organ Prelude op. 135a/1 and is evaluated analytically against professional human interpretation.

View abstract and presentation.

Temporal elasticity: Demystifying performance expression in German late Romantic organ music

The main idea of this project to compare the professional performance of Max Reger (1873-1916) organ music with the computer simulated performance built in accordance with the Hugo Riemann (1849-1919) phrasing principles (s. Riemann, Hugo. 1884. Musikalische Dynamik und Agogik, Lehrbuch der musikalischen Phrasierung auf Grund einer Revision der Lehre von der musikalischen Metrik und Rhythmik. Hamburg, Germany, p. 8). Several models are made in order to imitate different expression levels.

View abstract

“CHANT” for the Vox Humana: formantic waveform synthesis

Final project for the McGill graduate course "Digital Sound Synthesis and Audio Processing". The goal of the project was to provide a formantic analysis of the organ stop Vox Humana, compare its formantic structure to the human voice and resynthesize it using the "CHANT" methodology (Rodet, Xavier, Yves Potard and Jean-Baptiste Barriere. 1984. "The CHANT Project: From the Synthesis of the Singing Voice to Synthesis in General." Computer Music Journal 8(3): 15-31).


My recordings

J. G. Rheinberger

Fantasia und Finale op. 146

Max Reger

Introduction, Variations and Fuge op. 73

J. S. Bach - A. Vivaldi

Organ concerto in d minor BWV 596

Remy Cannedo

Helical process

Get in Touch


Get in touch with me on LinkedIn

280 St James St
London, Ontario
N6A 1X3

I don't receive calls:-).

© Yulia Draginda