Laura Salvan is a highly skilled Machine Learning Engineer, currently contributing her expertise at Google. She specializes in Natural Language Processing (NLP), with a strong focus on developing and implementing responsible and ethical AI systems. Laura is passionate about leveraging AI to solve complex real-world problems and has a keen interest in areas such as multilingual model development, fairness in AI, and interpretable machine learning. Her work often involves research and application of cutting-edge techniques to advance the field and ensure AI technologies are beneficial and equitable.
Laura Salvan's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Contributed significantly to the research and development of state-of-the-art multilingual Natural Language Processing models, enhancing their performance and applicability across diverse languages and cultural contexts at Google.
Played a key role in integrating fairness, accountability, and transparency principles into AI model lifecycles, developing tools and methodologies to mitigate bias and promote ethical AI deployment within Google's products.
Authored and co-authored influential research papers and technical reports on critical aspects of AI ethics, model interpretability, and fairness, contributing to the broader academic and industry discourse.
Frequently presents at industry conferences and workshops, advocating for the responsible development and deployment of AI, and sharing insights on building trustworthy AI systems.
Royal College of Art
Universidad Complutense de Madrid
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