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Kun Qian
Kun Qian

kunqian@stu.pku.edu.cn · sldyns.github.io

Background / CV

Curriculum Vitae

Mathematics and statistics, with a focus on biological questions.

Education

  1. 2023 — Present

    Ph.D. candidate in Statistics

    Peking University

    Supervisor: Ruibin Xi

  2. 2020 — 2023

    M.S. in Mathematics

    China University of Geosciences (Wuhan)

    Supervisor: Hongwei Li · Thesis: Research on Integration Analysis for Single-cell RNA Sequencing Data

  3. 2016 — 2020

    B.S. in Mathematics and Applied Mathematics

    China University of Geosciences (Wuhan)

Research interests

Bioinformatics, AI for Science, single-cell and spatial omics, and statistical learning.

Current interests also include genomics, epigenomics, and computational approaches to sequence design.

Methods & skills

Single-cell & spatial omics
Data integration, clustering, representation learning, and multimodal analysis.
Statistical & machine learning methods
Statistical modeling, dimensionality reduction, graph neural networks, contrastive learning, and generative modeling.
Programming
Python · R · MATLAB
Languages
Chinese (native) · English (professional working proficiency)

Awards

  1. 2026

    National Scholarship for Postgraduates (Doctoral)

  2. 2025

    2025–2026 BICMR Mathematical Award for Graduate Students

  3. 2022

    Best Paper Award, RECOMB 2022

  4. 2022

    National Scholarship for Postgraduates (Master’s)

  5. 2021

    First Prize, China Post-Graduate Mathematical Contest in Modeling