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Kun Qian

Statistics · Biology · Curiosity

Kun Qian

Bioinformatics
AI for Science

I’m a Ph.D. candidate in Statistics at Peking University. I develop statistical and machine learning methods to make sense of complex biological data.

Research, ideas, and things I build
Kun Qian with his black-and-white cat A little company along the way

Ph.D. Candidate in Statistics
Peking University · Beijing, China

01 / Research

Finding structure in biology

Biological questions.
Computational perspectives.

Bioinformatics

Making sense of single-cell and spatial omics data, from cellular states to the organization of tissues.

Single cells · Spatial omics

AI for Science

Developing representation learning and multimodal methods that connect biological data with interpretable insights.

Representation · Multimodal learning

Statistical learning

Building models for integration, dimensionality reduction, and discovery in complex, high-dimensional data.

Structure · Variation · Discovery

Currently exploring My current interests also include genomics, epigenomics, and computational approaches to sequence design.

02 / Selected work

Selected publications

All publications
Tools for the research community

Explore SpaHDmap, scINSIGHT, scAce, and scBiG.

Browse software ↗

03 / Fun projects

Made out of curiosity

Sometimes an idea becomes
something you can play with.

04 / Education

Mathematics
Statistics
Living systems

My research brings a background in mathematics and statistics to questions in biology.

View my CV ↗
  1. 2023 — Present

    Ph.D. candidate in Statistics

    Peking University

  2. 2020 — 2023

    M.S. in Mathematics

    China University of Geosciences (Wuhan)

  3. 2016 — 2020

    B.S. in Mathematics and Applied Mathematics

    China University of Geosciences (Wuhan)

Keep in touch

Let’s exchange ideas

For research, collaboration, or something interesting you’re building.

Say hello