RESUME
With a over a decade of experience as a Scientist, Engineer, Leader, Advisor and Consultant, Elio brings along expertise in Artificial Intelligence (AI), Machine Learning (ML), Software Engineering, Audio, Music, Music Technology and the Music Industry.
EMPLOYMENT HISTORY
| VP, Artificial Intelligence - Universal Music Group | 2023 - Now |
| Senior Director, Machine Learning and Audio - Universal Music Group | 2022 - 2023 |
| R&D Manager, Machine Learning and Audio - Universal Music Group | 2017 - 2022 |
| Post-doctoral Research Scientist - Queen Mary University of London | 2016 - 2017 |
| Resident Machine Learning, Audio and Music Scientist - Omnifone | 2013 - 2016 |
CONSULTING & ADVISORY WORK
| Board Member - International Society of Music Information Retrieval (ISMIR) | 2024 - Now |
| Advisor - RoEx | 2023 - Now |
| Industrial Advisory Board Member - Queen Mary University of London | 2019 - 2024 |
| Machine Learning Consultant - Modal | 2019 - 2022 |
NON PROFIT & COMMUNITY SERVICE
| Founder and co-organiser - London Audio & Music AI Meetup | 2020 - Now |
| Reviewer - ML/audio/music publications (ISMIR, TISMIR, AIMC, Audio Mostly etc.) | 2015 - Now |
| Mentor - Women in Music Information Retrieval “WiMIR” | 2018 - Now |
| Mentor - Help Musician Co-Pilot program | 2022 |
EDUCATION
| PhD in Machine Learning & Audio DSP - Queen Mary University of London (C4DM) | 2016 |
| Diploma in Commercial Music Performance - BIMM London (formerly Tech Music School) | 2012 |
| MA: Art Science and Technology - Grenoble-INP ACROE-ICA | 2011 |
| MSc: Physics and Nanoscience - Grenoble-INP Phelma | 2011 |
TECHNOLOGIES
Python, Pytorch, Tensorflow, Keras, sklearn, Numpy, Scipy, Airflow, Flask, Gensim, Pytest, Docker, SQL, Javascript, HTML, CSS, Jekyll, bash, Elasticsearch, Neo4j, AWS (Sagemaker, EKS, Batch, EC2, EFS, ECR, IAM, Lambda), GCP (BigQuery, Cloud Functions, Compute, Storage, IAM), CI/CD (Tekton, Github actions), Git, Kubernetes