Dr. Michelle Briffa
Research Intelligence Manager with a PhD in Neuroscienc
About
I am a data and research professional with a PhD in Neuroscience, specializing in transforming complex datasets into actionable insights. With over a decade of experience, I excel in applying advanced statistical methods and machine learning to drive strategic decision-making across tech, corporate, and academic environments. I’m known for turning complexity into clarity. Whether it’s messy datasets, ambiguous challenges, or cross-functional projects with competing priorities, I have a knack for finding structure where others see confusion. My edge comes from a background in neuroscience and psychology, which gives me a unique lens on human behavior and decision-making. By combining this perspective with strong technical expertise in data science, machine learning, and statistical modeling, I deliver insights that not only solve problems others avoid but also shape strategies that enhance user experience, performance, and innovation. I am driven by a passion for understanding human behavior through data, aiming to solve real-world challenges with scientific rigor and analytical innovation. My work contributes to making smarter, evidence-based decisions that enhance organizational effectiveness and innovation.
Skills
Experience
Research Intelligence Manager
Ericsson
2025 — Present
Lead research and analytics projects to understand employee needs and team performance. Apply advanced statistical modeling and machine learning to transform datasets into insights for workplace strategy. Ensure GDPR-compliant data handling and collaborate with cross-functional teams.
Senior Analyst (People Analytics)
Spotify
2022 — 2025
Developed statistical models to analyze HR data, applied machine learning for predictive models, and led HR product development to enhance employee experience.
HR Analyst (People Analytics)
Spotify
2020 — 2022
Conducted data analysis to derive insights for HR strategies and personalized employee experiences through data-driven methods.
RG Insight Analyst
Gamesys
2019 — 2020
Analyzed risk-scoring reports, enhanced Responsible Gambling operations, and co-developed a predictive tool for early intervention in gambling.
Lead Researcher
MCAST
2018 — 2019
Directed and led a team of assistant researchers.
Education
Executive MBA in Business Administration and Management
Quantic School of Business and Technology
2021 — 2022
Doctor of Philosophy - PhD in Neuroscience and Genetics
University of Malta
2013 — 2018
MSc. Clinical Neuroscience in Neurology
University College London, U. of London
2011 — 2012
Bachelor's Degree in Psychology
L-Università ta' Malta
2007 — 2010