About Me

"I help people and institutions make sense of AI."

A young woman with curly hair, glasses, and a black sleeveless top sitting on concrete steps working on a silver MacBook laptop.

I've spent the last eight years trying to close the gap between how AI actually works and how people experience it. That work shows up in different places — a YouTube channel, a newsletter, a consulting practice, a streaming platform, a live course, a book in progress — but it's all the same project.

For the people who watch my videos and take my courses, that means building real frameworks for understanding what AI is, what it isn't, and what it means for their lives.

For the institutions I advise — tech platforms, media companies, research organizations — it means telling them what they're getting wrong before they ship it, because I understand the communities they're trying to reach in ways their internal teams can't.

That's not two different jobs. It's one skill set in two contexts. The reason YouTube/Google brought me in for a 20-month residency is the same reason 89,000 people subscribe to my channel: I can hold technical complexity and human experience in the same frame without collapsing either one.


Credentials

I hold a PhD in Medical Engineering and Medical Physics from the Harvard-MIT Health Sciences and Technology program, where my work applied causal inference methods to large-scale health datasets.‍ ‍

I obtained approximately $600,000 in competitive fellowship/grant funding throughout my PhD : NSF GRFP, GEM, Whitaker Health Sciences Fund, and the NSF Neurotechnology Training Program. Prior to graduate school, I received a B.S. in Biomedical Engineering from Cornell University.

I started my YouTube channel the summer after undergrad, in 2018, because I wanted to make AI legible to people who weren't in the room where the decisions were being made. The channel now has over 89,000 subscribers and 2.4M views across 250+ videos.

My content and commentary have been featured by NPR, BBC News, WIRED, The Washington Post, MIT Technology Review, Fox News, Mashable, and PC Magazine. I gave a TEDx talk on AI literacy. I published an essay on algorithmic fairness in The Black Agenda (St. Martin's Press, 2022).


What I'm doing now

My consulting practice, Harrod & Co, works with organizations ranging from YouTube/Google and the Gates Foundation to Boston-area small businesses serving underserved communities. The institutional work typically falls into two categories: pre-launch strategic review, where I pressure-test AI decisions before they go live, and communications strategy for reaching audiences that have real reasons to be skeptical.

I co-own Nebula, a creator-owned streaming platform and talent agency serving 400,000 paying subscribers. I sit on the Cornell College of Engineering Alumni Association Board of Directors.

I teach AI IRL — seven sessions for people who want a genuine framework, not a tool roundup. I run standalone workshops, including "Craft Your AI Manifesto" and a series on AI and neurodivergence. I'm developing a book, How It Actually Works, about AI governance through existing democratic institutions.

And I'm still making YouTube videos. That's where all of this started, and it's still the thing that makes everything else possible.

FOR THE FULL PICTURE

Download my CV.

Publications, fellowships, speaking history, full education record. Last updated April 2026.