Dr. Elena Rossi
Chief Data Science Officer
NovaLogic AI
Dr. Rossi is a leading voice in digital transformation and financial technology strategy. With over 20 years in banking innovation, she has led major initiatives in AI-driven customer insights, blockchain-based payment systems, and UX design for mobile banking. She is a frequent keynote speaker at global fintech summits and a visiting lecturer at the National University of Singapore, where she teaches AI Ethics in Financial Services.
Published Papers
Education & biography
- EDUCATION
- SELECTED WORKS
- PREVIOUS TALKS
Dr Elena Rossi is an internationally recognized expert in applied artificial intelligence, data ethics, and scalable machine-learning systems, drawing on a strong academic foundation that includes a Master’s in Artificial Intelligence from Imperial College London and a Bachelor’s in Computer Science from the University of Edinburgh.
- PhD in Computer Science (Machine Learning) – University of Edinburgh Dissertation: “Interpretable Neural Models for Complex Decision Systems”
- MSc in Data Analytics – King’s College London
- BSc in Computer Engineering – American University of Sharjah
With more than a decade of experience across emerging technology, financial systems, and public-sector digital transformation, Dr Elena focuses on helping organizations design AI that is both high-impact and human-centered. Her work spans AI governance frameworks, predictive analytics, and intelligent automation for enterprise and government applications.
- Deciding if their team should keep refining an existing analytics solution or invest time and resources into exploring whether new models could offer better performance
- Assessing whether the time necessary to improve the performance of a project would cost more than the value that the additional performance would generate
- Assessing whether their team has the expertise to complete an upcoming project — if not, the CDS must determine whether any skills gaps can be filled by providing their staff with training or if it’s feasible to hire someone who holds the required skills
- Ensuring all insights created by a project can be understood by the non-data scientists who need to understand them, such as the CEO
- Ensuring that company data is of high quality, secure and easily accessible. Develop and monitor policies, reduce data silos and work closely with IT and legal to ensure compliance.
- Supporting data scientists in gaining valuable insights from data. Providing tools and processes to incorporate analytics into business decisions, planning and workflows.
- Developing a company-wide roadmap on how to use data as a strategic asset. Promote data literacy across all teams and use KPIs such as sales growth, customer retention or conversion rates to monitor success.
- The Human Insights Missing From Big Data
- World Changing: Data Science and AI
- Why Everyone Should Be Data Literate
- The Next Decade of Fintech: AI & Blockchain
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2027