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Meet Wharton's Newest Faculty: Enric Boix

November 20, 2025 / 01:08

This episode features Enrique, an assistant professor at Warden Statistics and Data Science, discussing AI models and their internal representations. Topics include the efficiency and reliability of AI systems, as well as the intersection of mathematics and experimental work in AI.

Enrique shares his background, mentioning his upbringing in New Jersey and his PhD from MIT. He explains his shift from purely mathematical work to a more experimental approach in understanding AI.

The conversation highlights the recent growth in the field of AI research, emphasizing its impact and the excitement surrounding new discoveries.

TLDR

Enrique discusses AI models, their internal representations, and the impact of experimental approaches in AI research.

Episode

1:08

00:00:00

Thanks for the positivity. Uh, >> hi, my name is Enrique. My title is assistant professor at Warden Statistics

00:00:08

and Data Science. My parents are from Barcelona. I mostly grew up in the US. Um, mostly New Jersey. I did my PhD at

00:00:16

MIT, which is where I'm coming from now. I work on understanding how AI models

00:00:22

represent concepts internally. this understanding can help inform efficiency, reliability of these uh

00:00:29

systems. I started uh doing more mathematical work. My undergrad was in mathematics and uh I realized that I

00:00:38

like the scientific element quite a bit or this there's these uh puzzles that

00:00:42

you can kind of probe experimentally in uh AI systems that are it's a little

00:00:47

harder to do [music] uh if you're just taking a purely mathematical lens. And

00:00:51

it turned out it's exploded in the last few years, especially in the last few

00:00:54

years. It turns out that it's pretty uh impactful, too. So, it's it's pretty

00:01:01

exciting.

Episode Highlights

Understanding AI Models
Enrique discusses his work on how AI models represent concepts internally, impacting efficiency and reliability.
“This understanding can help inform efficiency, reliability of these systems.”
@ 00m 24s
November 20, 2025

Episode Quotes

It's pretty exciting.
Meet Wharton's Newest Faculty: Enric Boix

Key Moments

Academic Background00:05
AI Research Focus00:19
Excitement for AI01:01