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Dr. Elena Rodriguez

Chief AI Officer

Google DeepMind

London, UK

Expertise

Neural NetworksDeep LearningAI EthicsComputer VisionNatural Language Processing
Speaker Biography

About Dr. Elena Rodriguez

Dr. Elena Rodriguez is a leading pioneer in neural network architectures with over 15 years of experience advancing machine learning research. She has published over 100 papers in top-tier conferences and holds 23 patents in AI and machine learning technologies.

Dr. Elena Rodriguez leads AI research initiatives at Google DeepMind, where she spearheads breakthrough developments in neural network architectures and deep learning systems. Her work has been instrumental in advancing the field of artificial intelligence, particularly in areas of computer vision, natural language processing, and reinforcement learning.

Prior to joining Google DeepMind, Dr. Rodriguez was a Senior Research Scientist at Stanford University AI Lab, where she led a team of 20+ researchers working on foundational AI technologies. She completed her PhD in Computer Science from MIT, specializing in machine learning and computational neuroscience.

Her research has been published in prestigious journals including Nature, Science, and the Journal of Machine Learning Research. She is a recipient of the MIT Technology Review Innovators Under 35 award and has been recognized as one of the most influential women in AI by Forbes.

Speaking Sessions

Speaking Sessions

The Future of Neural Architecture Search

Day 1, 10:00 AM - 10:45 AM
Keynote

Exploring automated neural architecture design and its implications for AI development.

Ethics in AI: Building Responsible Systems

Day 2, 2:30 PM - 3:15 PM
Panel Discussion

A comprehensive discussion on implementing ethical AI practices in enterprise environments.

Key Achievements

Key Achievements

Led breakthrough research in transformer architectures adopted by major tech companies

Published 100+ papers in top-tier AI conferences and journals

Holds 23 patents in machine learning and AI technologies

Recipient of MIT Technology Review Innovators Under 35 award