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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, the intersection of mathematics and scientific experimentation, and recent developments in the field.

Enrique shares his background, growing up in New Jersey with parents from Barcelona, and his academic journey, including his PhD at MIT. He emphasizes the importance of understanding how AI models represent concepts internally and how this knowledge can lead to improvements in AI systems.

He also highlights the shift in focus from purely mathematical approaches to more experimental methods in AI research, noting the significant growth and impact of this area in recent years.

TL;DR

Enrique discusses AI model representations and their implications for efficiency and reliability.

Episode

1:08
00:00:00
Thanks for the positivity. Uh,
00:00:03
>> hi, my name is Enrique. My title is
00:00:05
assistant professor at Warden Statistics
00:00:08
and Data Science. My parents are from
00:00:10
Barcelona. I mostly grew up in the US.
00:00:12
Um, mostly New Jersey. I did my PhD at
00:00:16
MIT, which is where I'm coming from now.
00:00:19
I work on understanding how AI models
00:00:22
represent concepts internally. this
00:00:24
understanding can help inform
00:00:26
efficiency, reliability of these uh
00:00:29
systems. I started uh doing more
00:00:32
mathematical work. My undergrad was in
00:00:34
mathematics and uh I realized that I
00:00:38
like the scientific element quite a bit
00:00:40
or this there's these uh puzzles that
00:00:42
you can kind of probe experimentally in
00:00:45
uh AI systems that are it's a little
00:00:47
harder to do [music] uh if you're just
00:00:48
taking a purely mathematical lens. And
00:00:51
it turned out it's exploded in the last
00:00:53
few years, especially in the last few
00:00:54
years. It turns out that it's pretty uh
00:00:58
impactful, too. So, it's it's pretty
00:01:01
exciting.

Episode Highlights

  • Understanding AI Models
    Enrique discusses how AI models represent concepts internally and the implications for 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

  • Background00:03
  • Education00:12
  • Research Focus00:19
  • Excitement for AI01:01

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