Career Profile

My expertise is machine learning, deep learning, and signal processing. I am enthusiastic about doing research and practical implementation and deployment of advanced machine learning and signal processing pipelines, as well as passing my knowledge to my students. I have extensive experience in speech and audio processing, speech synthesis and recognition, speaker recognition, and biomedical signals and electronics.

Experience

Assistant Professor

Jul 2015 – Present

Teaching courses on audio processing, electroacoustics, biomedical engineering and electronics.

Research consultant

Feb 2019 – present
prosody.lab, McGill University, Montreal, Canada

Modelling speech prosody using deep learning.

Visiting Researcher

Sep 2017 – Jan 2019
GIPSA-lab, Grenoble INP, Grenoble, France

Modelling speech prosody using deep learning under the ProsoDeep project funded by the EU Horizon 2020 under the Marie Skłodowska-Curie Actions (MSCA).

CTO

Jul 2016 – Sep 2017
ListenUp, Tel Aviv, Israel

Heading the development of algorithms for speech rate modification.

Research consultant

Jan 2015 – Sep 2017
Sentice, Skopje, Macedonia

Development of speech processing algorithms involving machine learning.

Visiting Researcher

Jul 2015 – Sep 2015
Idiap Research Institute, Martigny, Switzerland

Teaching courses in audio processing, electroacoustics, embedded systems, digital and analog electronics.

Teaching Assistant

Feb 2007 – Jun 2015

Teaching courses in audio processing, electroacoustics, embedded systems, digital and analog electronics.

Intern

Sep 2007 – Jan 2008
Hilti AG, Schaan, Liechtenstein

Signal processing algorithm development involving machine learning.

Projects

ProsoDeep

Sep 2017 – Jan 2019
GIPSA-lab, Grenoble, Grenoble-INP, France

Research project focused on the development of deep variational models of speech intonation. Project funded by Horizon 2020, Marie Skłodowska-Curie Individual Fellowship.

Speech Technology Research

Jun 2016 – May 2017
Retell Ltd., Sunbury on Thames, Middlesex, England

Industrial research project focused on the deployment of speaker recognition in call recording systems.

SP2

Apr 2014 – May 2016

Research project on physiologically plausible intonation modelling. Project funded by Swiss National Science Foundation (SNSF).

Education

PhD in Technical Sciences

2014

Thesis title: Noise Robust Automatic Speech Recognition for the Use in Systems for Vocal Interaction

M. Eng. in Electronics

2011

Thesis title: Speech Synthesis System for Macedonian Based on Quasi-Diphones

B. Eng. in Electrical Engineering

2007

Thesis title: The preservation of sound

Skills

Signal Processing

Machine Learning

Deep Learning

Natural Language Processing

Python

Scientific
Numpy, SciPy, Pandas

ML & DL
scikit-learn, PyTorch, Keras

NLP
NLTK, SpaCy

Visualisation
Matplotlib, Seaborn, Bokeh

Web
Jinja2, Pelican, Django

Optimization
Numba

Tools

Linux, Bash, Zsh, Git

HTML, CSS, JS

Neo4j, InfluxDB

Languages

English

Macedonian and other Slavic

German

French

Interests

  • Traditional music
  • Mountain hiking
  • Biking