您好，
我是康杰
Hello, I’m Jie Kang.
I seek to solve.
To see. To serve.
I’m a Lecturer in Applied Statistics at the University of Sydney’s School of Mathematics and Statistics. My research asks why individuals respond differently to biological and environmental challenges. I build statistical and machine-learning methods for genomic prediction, early detection of health changes and measuring resilience, in both 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?
See my publicationsWhat I work on
Genomic prediction
Statistical methods that turn genomic data into better predictions of performance, health and resilience.
Pascal’s triangle, mod 2 Binomial coefficients, kept only when odd, fold into a Sierpiński triangle: the arithmetic of Mendelian inheritance, repeated generation after generation.
Early detection
Using routinely collected data to spot health changes before they become visible problems.
The Lorenz attractor A deterministic system that switches between two states, where small changes grow quickly. That’s why catching a shift early matters.
Resilience to stress
Quantifying how well individuals cope with, and recover from, biological and environmental stress.
A hyperboloid of one sheet A curved surface made only of straight lines. The same geometry keeps cooling towers light and strong.
Across three countries
Collaborating across agriculture and health with partners in Australia, New Zealand and Ireland.
Borromean rings No two rings are linked, yet the three can’t be pulled apart. Remove any one and the others fall free.
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)
