Research Assistant · The University of Hong Kong

Cong Feng奉聪

From genomes
to biological insight.

I work across bioinformatics, population genomics and genetics, building tools to connect genomic variation with biological meaning. I’m now exploring AI for biology and agentic scientific systems.

Keep asking. Keep exploring.

An evolving research path

  1. 01Bioinformatics
  2. 02Population genomics
    & genetics
  3. 03Computational
    biology
  4. 04AI for biology

01 / Research

Reading the code
of living systems.

My work has grown from studying variation in crop genomes to developing the methods and software that make it interpretable.

Population genomics & quantitative genetics

Large-scale variant discovery, population structure, haplotype analysis and trait mapping. In wheat, my work has included the Watkins landrace collection, LD-based haplotype workflows, TagSNP design, and NAM imputation and GWAS.

From genes to phenotypes

Connecting genetic variation to traits in wheat and pea. My pea research has included haplotype analyses of Mendel’s classical traits and the integration of transcriptome, methylation and RT-PCR evidence.

AI for biology & agentic science Exploring

I’m interested in how AI can support biological research, and how agentic systems might connect scientific literature, analysis tools and computational workflows. This is the next direction I’m exploring from a grounding in genomics and scientific software.

02 / Publications

Selected
publications.

Further publications
  1. Pea genetics
    2025Nature

    Genomic and genetic insights into Mendel’s pea genes

    Cong Feng, Baizhi Chen, Julie Hofer, Yan Shi, Mei Jiang, Bo Song, Hong Cheng, et al.

    23 April 2025 · DOI: 10.1038/s41586-025-08891-6

    Mendel Pea G2P resource
  2. Wheat diversity
    2024Nature

    Harnessing landrace diversity empowers wheat breeding

    Shifeng Cheng, Cong Feng, Luzie U. Wingen, Hong Cheng, Andrew B. Riche, Mei Jiang, Michelle Leverington-Waite, et al.

    632, 823–831 · DOI: 10.1038/s41586-024-07682-9

    Watkins & Worldwide Wheat G2B
  3. Haplotype analysis
    2022Frontiers in
    Plant Science

    HAPPE: a tool for population haplotype analysis and visualization in editable Excel tables

    Cong Feng, Xingwei Wang, Shishi Wu, Weidong Ning, Bo Song, Jianbin Yan and Shifeng Cheng.

    13, 927407 · DOI: 10.3389/fpls.2022.927407

    Source code
Further publications 04
  1. 2025 / Nature Plants

    Septoria tritici blotch resistance gene Stb15 encodes a lectin receptor-like kinase

    Amber N. Hafeez, Laetitia Chartrain, Cong Feng, et al.

  2. 2024 / Communications Biology

    Improving wheat grain composition for human health by constructing a QTL atlas for essential minerals

    Petros P. Sigalas, Peter R. Shewry, Andrew Riche, Luzie Wingen, Cong Feng, et al.

  3. 2024 / Nature Plants

    The wheat powdery mildew resistance gene Pm4 also confers resistance to wheat blast

    Tom O’Hara et al. · Co-author: Cong Feng.

  4. 2020 / Genome Research

    An efficient RNA-seq-based segregation analysis identifies the sex chromosomes of Cannabis sativa

    Djivan Prentout, Olga Razumova, Bénédicte Rhoné, Hélène Badouin, Hélène Henri, Cong Feng, Jos Käfer, Gennady Karlov and Gabriel A. B. Marais.

03 / Software & resources

Built for
real research.

Tools, analysis workflows and shared resources for biological research.

Scientific software

HAPPE.

A tool I authored and maintained for population haplotype analysis and visualization in editable Excel tables, bringing haplotype data into a format researchers can inspect and work with.

Population haplotypes
SampleS1S2S3S4S5S6S7S8
AAAGGCTTA
BAAGGCTTA
CGGAACTTA
DGGAATCCG
EAAGGTCCG
FGGAATCCG
Illustrative haplotype matrix

Methods & tools

Genomic analysis workflows

Variant discovery and quality control, LD-based haplotype matrices, NAM imputation and NAM-GWAS, and interactive Manhattan-plot visualization.

Working toolkit Python · C / C++ · R · MySQL · HTML · Java

Research platform

G3RP

I developed the Global Grain Genomics Research Program portal as part of my work on shared resources for crop genomics.

Collaborative research resources

Related to my wheat and pea research; I contributed to these data portals.

Website creation: Zejian Huang.

Watkins & Worldwide Wheat G2B Mendel Pea G2P
More on GitHub

04 / Career & education

A path through
biology and code.

Archived CV · Sep 2025

Late Jan 2026 — present Current

The University
of Hong Kong

Research Assistant

Continuing my research path in computational biology, with an emerging interest in AI-enabled biology and agentic scientific systems.

  1. Sep 2015 — Jul 2019Education

    B.S. in Bioinformatics

    Chongqing Medical University

    A foundation in genetics, statistics, mathematics and genomics, alongside self-directed programming study.

  2. Jun — Aug 2018

    Bioinformatics Engineer Intern

    BGI Group · Shenzhen

    De novo genome assembly for Lycium ruthenicum and L. barbarum, and pipeline development for cysteine-rich peptide analysis.

  3. From Jul 2019Previous appointment

    Bioinformatics Engineer / Assistant Researcher

    Agricultural Genomics Institute,
    Chinese Academy of Agricultural Sciences · Shenzhen

    Population genomic research in wheat and pea, gene discovery, bioinformatics tools, analytical workflows and research websites.

Get in touch

Let’s compare notes.

On genomics, scientific software, or the next questions in AI for biology.

define@define.sh