Dr. Helen H. Liang is a distinguished research scientist and leader in the field of Artificial Intelligence, with a particular focus on Natural Language Processing (NLP) and Responsible AI. With over 15 years of experience post-PhD, she has made significant contributions to developing scalable machine learning models, advancing ethical AI frameworks, and leading cross-functional teams to deliver impactful AI-driven solutions. Her work often bridges the gap between cutting-edge research and real-world applications, aiming to create AI systems that are not only intelligent but also fair, transparent, and beneficial to society. Dr. Liang is a strong advocate for diversity in STEM and frequently mentors aspiring researchers.
Helen H. Liang's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Developed novel techniques for interpreting complex deep learning models, resulting in multiple high-impact publications and a patented algorithm for model introspection.
Spearheaded the architecture and development of a company-wide NLP platform, enabling faster deployment of text analytics and natural language understanding capabilities across various products, serving millions of users.
Awarded by [Fictional Company Name, e.g., 'Innovatech Solutions'] for outstanding contributions to AI research and its successful commercialization in 2021.
Invited as a keynote speaker at the [Fictional Conference Name, e.g., 'Global Summit on AI Ethics and Governance'] in 2022, sharing insights on building trustworthy AI systems.
Has an extensive publication record in top-tier AI conferences and journals like NeurIPS, ICML, ACL, and Nature Machine Intelligence, with over 5000 citations.
Stanford University Graduate School of Business - Year 2025
Stanford Law School - Year 2023
Harvard Business School - Year 2022
University of Wisconsin-Madison
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