Helen Ross

Helen Ross is a computer scientist dedicated to promoting evidence-informed decision-making on a global scale. Her primary focus involves enhancing governments' utilization of big data to enhance their official statistics.

Helen brings a diverse educational background, having pursued an MBA in International Strategy & Entrepreneurship from emlyon business school, an MS in Computer Science from Oregon Health & Science University, and a BS in Cognitive Science from Carnegie Mellon University.

With an extensive professional history, Helen has held key roles in various organizations. She served in Statistical Capacity Building at the United Nations Department of Economic and Social Affairs and previously worked as an Information Manager at the United Nations Economic Commission for Europe. Additionally, she has experience as a Business Analyst at the United Nations, Product Manager at Stroz Friedberg and Smarsh, Project Manager at Interpol, and Consultant at Norbert Dentressangle and Princeton Consultants.

Helen's technical expertise is evident through her roles as a former Software Developer at Credit Interlink, Artificial Intelligence Engineer at Lockheed Martin and MITRE Corporation, Usability Engineer at Voice Architects, and Machine Learning Teaching Assistant at Oregon Health & Science University. Furthermore, she has experience as a Consultant at the Department of Health & Human Services, State of Oregon, and as a Research Assistant at Carnegie Mellon University.

Fluent in English, French, C#, SQL, and Python, Helen Ross embodies a well-rounded professional with a rich background in computer science, statistics, and international strategy.