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September 14, 2023

Improving the Human Condition with Data Science

About This Video

In this illuminating discussion, our distinguished panelists explore the transformative potential of data science in enhancing various aspects of the human experience. From healthcare to social well-being, they share insights into how cutting-edge data-driven approaches are shaping a brighter future for us all.

In This Video
Director of CDS Advanced Analytics and Oncology, Gilead Sciences, Inc

Sparkle Russell-Puleri, is an experienced data science leader with a passion for leveraging both her technical and strategic leadership skills to solve tough problems. Sparkle has led the development of critical data science initiatives from proof of concept to strategic development and execution. She has spent her entire career building fit-for-purpose AI/ML-based solutions to help increase clinical trial efficiency across several therapeutic areas in the pharmaceutical, biotech, and medical devices industries.

Professor of Economics and Director of the Center for Social Data Analytics, ​Auckland University of Technology

Rhema Vaithianathan is a Professor of Economics at Auckland University of Technology (NZ), where she is director of the Centre for Social Data Analytics, a research centre that uses data analytics for social impact. Rhema leads a multidisciplinary team that works with health and human services agencies around the world to develop and deploy research-led machine-learning tools.

Associate Research Professor, Biomedical Data Scientist, Barcelona Institute for Global Health (ISGlobal)

Associate Research Professor Paula Petrone leads the Biomedical Data Science Team at ISGlobal, which focuses on diagnosing chronic and infectious diseases using computer vision and advanced machine learning techniques. Paula graduated with a degree in Physics from Instituto Balseiro and earned her Ph.D. in Biophysics from Stanford University. She has served as a biomedical data scientist in the life science and startup sectors for over 10 years, specializing in areas, such as drug discovery, health informatics, and image analysis.