Free Online Webinar
From Curious to Capable: Understanding AI with a Harvard Professor
With Dr. Fangxu Xing, Assistant Professor at Harvard University
⏰ Wednesday, August 5, 5 pm Pacific, 8 pm Eastern
Webinar Highlights
AI is moving faster than almost anyone predicted. New models seem to launch every few weeks, and the conversation around AI, from job security to college admissions, has never felt more urgent for high school students trying to plan ahead.
Join us for a free webinar with Dr. Fangxu Xing, a Harvard Professor with over 15 years of experience in AI and Machine Learning. He will talk through where AI is headed, what this means, and how students with zero knowledge can build up their skills and produce a project in only a few months. You'll learn about:
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The future of AI
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A beginner-friendly breakdown of Machine Learning
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Common misconceptions students have when starting out
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How early AI research can strengthen a college application
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Career paths in AI
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A new AI beginner research program with Professor Xing
- Live Q&A with Dr. Xing
Don't miss this invaluable opportunity to gain expert insights and inspiration from a Harvard professor!
Date: Wednesday, August 5
Time: 5 pm Pacific, 8 pm Eastern
Can't make it live? A replay will be available for you if you sign up!
About Dr. Xing
Dr. Fangxu Xing is a faculty member from Harvard University (Harvard Medical School) with more than 15 years of experience in artificial intelligence, machine learning, and computer vision. Dr. Xing graduated from Johns Hoskins University with a background in mathematics, computer vision, data science, and deep learning. He was trained to become a postdoc researcher and AI engineer in Massachusetts General Hospital, before joining Harvard as a faculty member. As an active researcher and educator, Dr. Xing has authored hundreds of peer-reviewed scientific publications and has extensive experience developing AI technologies for healthcare and other real-world applications.
Passionate about AI education, he believes that machine learning should be approachable, practical, and engaging. Drawing on years of experience building real AI systems for medical imaging and scientific research, he helps students understand not only the theory behind modern AI, but also how these technologies are applied to solve meaningful real-world challenges. His goal is to equip students with the knowledge and confidence to continue their journey in AI, whether for research, industry, or further study. Over 11 years at Harvard, he hands-on trained over 800 students and learners, many of those have taken major positions in industry including FAANG+ companies.
Combining academic excellence with practical industry-focused experience, Dr. Xing is committed to making machine learning accessible to students from diverse backgrounds. Throughout the program, students will build a strong foundation in AI while gaining insight into how modern machine learning systems are developed, evaluated, and applied to solve real-world problems in medicine, engineering, and beyond.