您好，我是康杰

Hello, I’m Jie Kang.

Portrait of Jie Kang

I seek to solve.
To see. To serve.

I’m a Lecturer in Applied Statistics at the University of Sydney. I build statistical and machine-learning methods for agriculture and human health.

“In God we trust. All others must bring data.”
— W. Edwards Deming

Applied statistician

Information → insight → intent.

Quantitative geneticist

Let’s change the world.

"G"

My nickname, and something I’m still defining.

Research

Why do individuals respond differently to biological and environmental challenges?

Pascal's triangle modulo 2
Binomial coefficients, kept only when odd, fold into a Sierpiński triangle: the arithmetic of Mendelian inheritance, repeated generation after generation.

Genomic prediction

Turning genomic data into better predictions.

Pascal’s triangle · C(n, k) mod 2

The Lorenz attractor
A deterministic system that switches between two states, where small changes grow quickly. That’s why catching a shift early matters.

Early detection

Spotting health changes before they show.

Lorenz attractor · ẋ = σ(y − x)

A hyperboloid of one sheet drawn from straight lines
A curved surface made only of straight lines. The same geometry keeps cooling towers light and strong.

Resilience to stress

Measuring how individuals cope and recover.

Hyperboloid · x² + y² − z² = 1

Borromean rings
No two rings are linked, yet together they can’t be pulled apart. Remove any one and the others fall free.

Collaboration

Working with partners across disciplines and borders.

Borromean rings · lk(A, B) = 0

Publications Blog

Let’s chat

“朝闻道，夕死可矣。”——《论语·里仁》

“Hear the Way in the morning, and you may die content in the evening.” (Analects 4.8)

Jie Kang

jie.kang@sydney.edu.au

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