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 ↗
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 ↗

Education

Stanford University

Economics, Computer Science

Upper Canada College

International Baccalaureate