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Meet your host
Fangyu (Fiona) Li, MPH
Fangyu (Fiona) Li is a recent MPH graduate in Biostatistics from Yale School of Public Health, with a background in Psychology and Statistics from the University of Washington. She is currently working as a Data Engineer and is passionate about connecting people, ideas, and opportunities through thoughtful communication and creative storytelling.
For AI Bootcamp 2026, Fangyu supports podcast strategy, community outreach, and promotional initiatives that highlight the voices, projects, and impact of the bootcamp community. She is especially interested in making conversations around AI more engaging, practical, and accessible to students from all backgrounds.
Past episodes
Episode 1
Paradigm Shift in AI & Education
Bruce Zou Ph.D. | Apr 30, 2026
Education was built for a world that no longer exists. In Episode 1 of the iHub AI Lead & Leap Podcast Series, we sit down with Bruce Zou — researcher at Wharton, scholar at UPenn, and educator who lived through the AI classroom revolution firsthand — to ask the question nobody in education wants to answer: “Are we preparing students for the future, or training them to lose to a machine?” Through the lens of the Captain America vs. Red Skull framework, Bruce argues that AI doesn't create winners and losers — it amplifies whoever you already are. Which means the real question was never about the technology. It was always about the human holding it. We talk about: → Why the factory-floor model of education is a 19th-century relic surviving in a 21st-century crisis → What "techno-autonomy" looks like in a real classroom → The blurring of academic majors — and what actually matters now → How the next generation can wield AI with purpose, not just speed
Episode 2
AI & Industry: Is the Real Bottleneck the Technology — or the People?
Warren Zhou MS, Yulan Zhang MS| July 5, 2026
Silicon Valley says AI is disrupting everything. So why hasn't it? In Episode 2 of the iHub AI Lead & Leap Podcast Series, we sit down with two people on opposite sides of the AI adoption story — Warren Zhou, IBM Product Manager building enterprise AI (watsonx, AIOps), and Yulan Zhang, tech consultant helping biopharma and consulting firms actually put AI to work — to cut through the hype and ask: "In the world's most rigorous industries, how much has AI really landed?" The builder says the technology is ready and adoption is what lags. The advisor says organizations, processes, and trust can't keep up. They don't agree — and that's exactly the point. One idea runs through the whole conversation: AI isn't replacing people. But people who use AI are replacing those who don't. We talk about: → Which AI claims are overblown — and the #1 wrong expectation from clients and bosses → Where AI actually works today: IT incident prediction, research & analysis acceleration in biopharma and consulting → The tasks that "look replaceable" but still need humans → Builder vs. advisor debate: is the bottleneck the tech or the people? → If I were 22 today: each guest's concrete advice for Gen Z entering top industries
Episode 3
Gen Z / Alpha Strikes Back: Building Competitive in Uncertainty
coming soon...
Episode 4
Identity & Leadership: What is Left for Humans?
coming soon...
Epilogue:
The AI Builders
We sat down with three coaches from the iHub × IBM SkillsBuild AI Bootcamp — people who started as builders and coaches last year and have taken on new roles this time around. We asked them what the AI era actually feels like, what they're doing differently this year, and the one thing they'd say to someone walking in the door this summer.
If you've ever wondered whether something like this is for you, this is the most real look we can give you. Then come see it for yourself.
What the AI Era Really Feels Like?
From the Coaches Who Lived It
Three coaches.
Two years in the program.
One simple set of questions.