In the News

The off-the-shelf AI doesn’t really operate in a way that we can use for scientific discovery. But it’s close. And we can have a nice synergy with the computer science community to drive discovery in both fields.

I’m holding on for dear life as my junior colleagues drag me deeper and deeper into this world that I so distrusted at first.

To actually phrase some of the aspects of the scientific process in rigorous, algorithmic terms such that a computer could do it — that itself is a rich scientific endeavor, and one that has a chance of really accelerating the way that we do scientific discovery.

You have power to change the behavior of those tools.

Particle physics is global science. No matter what, there is no country that can afford the next collider by themselves.

I’m thrilled to see the myriad of ways ‘physics intelligence’ is transforming the field of artificial intelligence.

I was trained to think about what are the laws of nature in our universe. Now it’s ‘what is the space of all possible rules?’

We’d like to have a machine learn to think more like a physicist, but we also just need to learn how to think a little bit more like a machine.

While some aspects of particle scattering can be described in a classical language, nature is fundamentally quantum mechanical.

Our goal was to come up with a grading policy that was simple, flexible, and discipline agnostic, with mechanisms to ensure that students would always be incentivized to engage in all of their classes.

Do we live in a universe where each discovery leads to deeper, more fundamental insights, or do we live in one where some parts have rhyme and reason, but others don’t?

Figuring out what happened in a collider is like trying to figure out what your dog ate at the park yesterday. You can find out, but you have to sort through a lot of shit to do it.

Here’s the universe, here’s pencil and paper, now go and find something new.