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Zijie Wang
Graduate Student Researcher at Georgia Institute of Technology
Zijie Jay Wang is a notable graduate student researcher at the Georgia Institute of Technology, where he has made significant contributions to the field of artificial intelligence (AI), particularly in making AI systems more accessible and interpretable. He completed his Ph.D. in Machine Learning in 2024, under the supervision of Professor Duen Horng "Polo" Chau, focusing on human-centered AI through the development of interactive visual analytics tools.
Academic Background and Research
- Education: Wang earned his Bachelor of Science degree in Computer Science, Statistics, and Mathematics from the University of Wisconsin-Madison, graduating with honors in 2019. He then pursued his Ph.D. at Georgia Tech, where he was actively involved in research from August 2019 until his graduation in July 2024.
- Research Focus: His dissertation emphasized democratizing AI by enhancing user interaction with machine learning systems. Key projects included:
- CNN Explainer: An open-source tool for deep learning beginners.
- DiffusionDB: A dataset aimed at improving understanding of generative AI.
- GAM Changer and GAM Coach: Tools designed to empower users in various sectors by allowing them to customize machine learning models according to their specific needs and values.
- Farsight: A tool that alerts developers to potentially harmful prompts when using large language models.
Professional Achievements
Wang's work has garnered recognition, including being named to Forbes' 30 Under 30 list in Science for 2025 due to his impactful research in AI safety and accessibility.14 He has also received prestigious fellowships such as the Apple Scholars in AI/ML Ph.D. Fellowship and was part of the J.P. Morgan AI Ph.D. Fellowships Program.13
Current Role
Since completing his Ph.D., Wang has taken on a full-time role as a safety researcher at OpenAI, where he continues to design interactive tools that promote the safe deployment of advanced AI technologies.12 His research aims to lower barriers to AI use while ensuring that these technologies are fair and accountable.
Personal Insights
Wang has expressed gratitude for the mentorship he received throughout his academic journey, particularly from Polo Chau, who introduced him to human-AI interaction research.13 His work reflects a commitment to making AI technologies enjoyable and accessible for everyone.
In summary, Zijie Jay Wang is a prominent figure in the field of AI research, recognized for his innovative approaches to making machine learning systems more user-friendly and ethically aligned.