About

Hong Jiang

PhD candidate (defend on May 5th, 2026) Bioinformatics, Karolinska Institutet Github

EDUCATION

Karolinska Institutet (KI), PhD: Medical Sciences 2021.10 - 2026.04
The Swedish National Graduate School in Medical Bioinformatics 2022.03 - 2025.03
University of Science and Technology of China (USTC), Master: Bioinformatics 2018.09 - 2021.06
Nanjing University (NJU), Internship: Physics 2017.03 - 2017.10
China Pharmaceutical University (CPU), Bachelor: Pharmacy (National Base of Biology and Technology Education, Top-Notch Student honored, President of the Mathematical Modeling Association) 2014.09 - 2018.06

MOTIVATION

To leverage multi-omics-driven datasets to understand complex diseases and accelerate therapy development

RESEARCH EXPERIENCES

PhD Projects, Karolinska Institutet   2021.10 - Present

Supervisors: AP. Qiaolin Deng, AP. Claudia Kutter, Prof. Elisabet Stener-Victorin

  • Revealing cell type and spatial transcriptional and histological signatures of human placenta in diseases and health:
    • Polycystic ovary syndrome (PCOS) with or without metformin usage during pregnancy
    • Obesity linked to fetal growth outcomes
  • Meta-analysis, databases, and web interfaces of placental transcriptomics in physiological conditions
  • Single-cell and spatial profiling of novel drug effects on colon of ulcerative colitis mouse model and human patients

snRNA-seq, spatial transcriptome (spot-based subcellular resolution: Stereo-seq, BMKManu 3000 Spatial transcriptome), Histology Analysis Pipeline.PY with RetinaNet for nuclei localization, ResNet for cell classification and graph neural network for tissue classification; scverse community tools

Visiting Projects, Helmholtz Munich   2025.08 - 2025.11

Supervisor: Prof. Carsten Marr

  • Fine-tune a Perceiver aggregator from HistoGPT with MIL head for classifying whole slide images of cutaneous squamous cell carcinoma and basal cell carcinoma

Multiple instance learning (MIL), Attention mechanisms, Vision transformer

MSc Projects, USTC   2018.09 - 2021.06

Supervisors: Prof. Xiaoyuan Song, Prof. Lau Pak-Ming

  • Hi-C-based three-dimensional chromatin conformation analysis and comprehensive next-generation sequencing data processing for epigenetic and transcriptomic regulatory profiling
    • Identify regulators and transcription regulation mechanisms in hepatocellular carcinoma stem cells
    • Characterize chromatin folding dynamics, accessibility, and RNA expression in mouse spermatogenesis
    • Chromosomal rearrangement of macronucleus corresponds to TAD-like structure in micronucleus in Tetrahymena thermophila
    • Categorize TADs in mouse stem cell line by chromatin states from histone marker and transcription factor (ChIP-seq)
  • Data mining for building a piRNA-Cancer database

Multi-omics, Hi-C, ChIP-seq, ATAC-seq, RNA-seq, data mining

Undergraduate Thesis, USTC   2018.02 - 2018.06

Supervisor: Prof. Qinghua Shi and Prof. Xiaoyuan Song

  • Construct a pipeline for C. elegans whole genome sequencing data analysis and found causal mutations for specific phenotype using statistical testing

Intern, NJU   2017.03 - 2017.10

Supervisor: Prof. Yi Cao

  • Synthesize and test the physical properties of slow-released PEG hydrogel with different ratio of beta-diacerein

Project for Talent Training Plan, CPU   2017.09 - 2017.12

Supervisor: Prof. Min Wang and Chen Luo

  • Investigate the therapeutic effects of protein Regeneration2 on type 2 diabetes
  • Analyze the components from sealing rubber contacted water using LC-MS

DNA sequencing (WGS), variation analyses, biophysics

WORK EXPERIENCES

Bioinformatic Engineer, KeyMed Biosciences   2021.06 - 2021.09

Preclinical validation department

  • Antibody target and efficacy validation by mining databases and in-silico screens
  • Communicate with other departments and facilitate cooperate strategic decision making
  • Technical report to stakeholders

PUBLICATIONS

  1. Jiang H#, Derisoud E#, Parreira D, et al. Decoding human placental cellular and molecular responses to maternal obesity and fetal growth. Advanced Sciences. 2026.
  2. Zhao A, Jiang H, et al. Appropriate Glycemic Management Protects the Germline but Not the Uterine Environment in Hyperglycemia. EMBO Reports 25(4), 2024.
  3. Derisoud E#, Jiang H#, et al. Revealing the Molecular Landscape of Human Placenta: A Systematic Review and Meta-Analysis of Single-Cell RNA Sequencing Studies. Human Reproduction Update 30(4), 2024.
  4. Lu H#, Jiang H#, Li C#, et al. Dissecting the Impact of Maternal Androgen Exposure on Offspring Health. 2023.
  5. Pei Y#, Risal S#, Jiang H, et al. Transcriptomic Survey of Key Reproductive and Metabolic Tissues in Mouse Models of PCOS. Communications Biology 6(1), 2023.
  6. Luo Z#, Wang X#, Jiang H#, et al. Reorganized 3D Genome Structures Support Transcriptional Regulation in Mouse Spermatogenesis. iScience 23(4), 2020.
  7. Luo Z#, Hu T#, Jiang H, et al. Rearrangement of Macronucleus Chromosomes Correspond to TAD-like Structures of Micronucleus Chromosomes in Tetrahymena Thermophila. Genome Research 30(3), 2020.
  8. Cao J#, Jiang H#, et al. Epigenomic Profiling Identifies the Role of Nr5a2 and CYP1B1 in Hepatocellular Carcinoma Stemness Maintenance. Science Bulletin 64(16), 2019.
  9. Zhao A, Wei Y, Kontidou E, Mahdi A, Jannig P R, Torstensson S, Jiang H, et al. Maternal diabetes programs sexually dimorphic early-onset cardiovascular dysfunction in metabolically healthy offspring. Cell Reports Medicine. 2026.
  10. Muhammad A, Waheed R, Khan NA, Jiang H, Song X. piRDisease v1.0: A Manually Curated Database for piRNA Associated Diseases. Database 2019.

CONFERENCE & GRANT

  • Present posters at NORBIS 2022; German Network for Bioinformatics Infrastructure (de.NBI) summer school 2023; scverse Conference 2024; Society for the Study of Reproduction conference 2024; SCG2025
  • Travel grant from International Society for Computational Biology for presenting at European Conference of Computational Biology 2024
  • DMM conference travel grant for presenting at European Placenta Group 2024
  • Svenska Sallskapet for Medicinsk Forskning travel grant for visiting research project at Helmholtz Munich

没有热爱,没有特长,
希望自己能参与有用的事业。

Hey,我是ruby,一只晚熟的生物。您也可以在twitterlofter找到我。将来如果能在别的地方有好的输出,也会在这里重新向您介绍.

我现在是生物信息学专业的学生。

参与的项目和发表的文章,👉 戳 Researchgoogle scholar

其实这里就是随便闲聊啦。虽然我常常写随笔,但是我再想想如何更清晰地分类各类作品吧。我就暂时不写英文版网页咯,或者将来想要练习其他语言再来吧