About AIVA

Our mission is to empower individuals by creating personalised soundtracks with AI

AIVA - Artificial Intelligence Virtual Artist
Pierre Barreau
CEO, Co-founder
As a computer scientist, award nominated director and composer, Pierre leads the company towards its vision: establishing AIVA as one of the greatest composers of all time, and fuelling the world with personalised music.
Denis Shtefan
CTO, Co-founder
As a published researcher and composer, Denis is leading the research and development efforts to solve the most challenging problems in the fast-evolving field of creative and personalised music generation using A.I technologies.
Vincent Barreau
COO, Co-founder
Vincent is an engineer and a musician. He is head of Operations at Aiva and makes sure the business uses its resources properly.
Olivier Hecho
Artistic Director
Olivier is a professionnal musician and composer. He makes sure that every music delivered to our clients are up to the highest standards. He is an expert in guitar playing and even publishes covers and tutorials on his own Youtube channel.
Ashkhen Zakharyan
Customer Development
Ashkhen has a master in Entrepreneurship and Innovation and speaks seven languages fluently: Armenian, English, Chinese, Russian, Japanese, Norwegian and Faroese. During her many travels and multicultural experiences, she has worked with people from different backgrounds and cultures, and has amassed an extensive network all across the globe. At AIVA, she works as a Sales Manager, focused on the growth of the business and customer development.
Michael Klachko
Deep Learning Researcher
With a strong passion for impactful research and interest in music from a young age, Michael initially joined the team to help Aiva gain a deeper understanding of important musical features and continues to spearhead the research efforts into conditional music generation.
Bradley Frey
Music Supervisor
Brad supervises the data Aiva learns from (inputs) and what the AI creates (outputs), to ensure our customers are given the best results possible. His deep understanding of film scores led him to create the youtube channel FilmScoreAnalysis.
Chien-Hung Liu
Research & Development Engineer
Chien-Hung has spent the past seven years of his research career studying and developing computational intelligence for music composition. He is particularly interested in the application of evolutionary algorithms to music generation and has recently joined Aiva to help reach the next big milestones in personalised music composition.
Sebastian Garcia
Research & Development Engineer
Sebastian is a computer scientist and independent musician. He is especially passionate about playing the guitar and has a discography of over 50 songs in the framework of his music project “Dyampra”. In his master thesis, he mixed both worlds by studying the use of deep recurrent networks for music generation. He joined the team, after finishing his MSc degree to get deeper knowledge about state of the art machine learning techniques and their utility across domains.
Halil Erdogan
Research & Development Engineer
Halil joined the team in January 2019 after graduating with BSc in Electronic Engineering at Sabanci University. During his studies he gained experience interning and publishing papers at international research institutes and developed an interest in machine learning for music. Halil is currently working on music engine optimization, data extraction and machine learning development.
Torsten Anders
Research & Development Engineer
Torsten is a composer, researching and developing software for computer-aided composition with 20+ years of experience in this field. His theoretical research focuses on the computational modelling of composition and music theories. He published 20+ peer-reviewed journal articles, conference papers and book chapters; his music has been performed on three continents; and he designed and implemented various composition systems and extensions of such systems.
Shuxin Meng
Research & Development Intern
Some of our financial backers
Co-funded by the Horizon 2020 programme of the European Union, grant #876982