oliver.y.chen01@gmail.com

I study how technology
reads people.

What human data is actually worth, what AI can infer from it, and which of those inferences become real products.

On court, in a lab, in a startup,
it’s the same question…

What can you really know
about a person from the
signals they give off?

How I think about it

From signal to consequence
01 / Sense

Measure signals that hold up.

How a product measures a person: wearables, cameras, neural signals, behaviour.

Which signals hold up outside the lab?

02 / Infer

Infer the individual’s state.

Turning those signals into a read on someone’s state: tired, focused, stressed. This is where I spend half my time.

How little data does a model need before it can read one person?

03 / Act

Turn insight into business value.

What the product does with that read, and whether anyone pays for it.

Does being right make money?

01 / Writing

Memos

One question a week. A call I can be wrong about.

All memos
Current memo

Is Whoop measuring recovery, or constructing it?

Where measurement ends, interpretation begins, and the score becomes the product.

Drafting in Progress...Publish Date
02 / Building

Experience

Learning how people think, how products work, and how businesses grow.

Explore my experiences
Incoming · Summer Product Engineer

Quippy (YC ’26)

Bringing a curiosity about social behaviour into product work.

Previously · Equity Research Intern

Wall Street Oasis

A Spotify investment pitch, from financial forecasts to valuation.

03 / Inquiry

Research

Studying how models learn from human signals. Currently preparing a FALCON benchmark submission.

Explore my research