Principal Investigator/Group leader

ping.chen@ki.se, ping.chen@helsinki.fi

As a computational biologist, I am dedicated to bridging the gap between data science and medical research. I earned my Ph.D. in Medical Systems Biology from the University of Helsinki in 2016, where my doctoral dissertation focused on the ‘Quantitative Study of Transcriptome Dynamics during Evolution and Treatment Resistance in Cancer’.

Following my Phd, I pursued received postdoctoral research training on Smart-seq2/3 single cell methodology in Rickard Sandberg’s group, and on immunometabolism in Myriam Aouadi’s group at Karolinska Institutet, Sweden.

Since 2022, I have been leading my independent research group at the Division of Clinical Chemistry in KI LABMED. Our team is deeply engaged in data-driven research on human cardiometabolic diseases, encompassing both computational method development and in-depth mechanistic studies. Additionally, since September 2023, I have started a second lab at the University of Helsinki in Finland. This lab is dedicated to investigating the regulation of alternative splicing in human metabolic diseases.

Postdoc Researcher

jingyang.niu@ki.se

I obtained my PhD from the School of Biomedical Engineering, Shanghai JiaoTong University, China. My interests are on bioinformatics and machine learning. I am currently doing my postdoc research in Chen’s research group focusing on computational analysis and method development for single-nucleotide variant calling, including genomic variants and RNA editing. Our goal is to construct powerful SNV tools specific tailored for human metabolic disease.

PhD student

depin.wang@helsinki.fi

I am a passionate bioinformatician with shared experience between academia and the biotech industry. I am working in the fields of bioinformatics and data science to reveal the mechanisms of diseases. Currently, I am carrying out a PhD study in Chen’s research group. My research focuses on developing computational methods and analyzing data to investigate the impact of alternative splicing on metabolic disorders associated with obesity.

Master student (nutrition science)

julia.balewska@stud.ki.se

I am currently pursuing my master’s in Nutrition Science at Karolinska Institutet. My main interest is metabolic diseases. In 2023, I joined Chen’s lab to improve my knowledge on bioinformatics. My current project focuses on single-cell RNA-seq data analysis to reconstruct the differentiation trajectory of liver myeloid cells during the development of non-alcoholic fatty liver disease. In this project, I will also investigate the alternations in these cells to further understand the underlying mechanisms that drive disease progression.

Research Assistant (Life Science Informatics)

xiyuan.zhang@helsinki.fi

I am a bioinformatics master student from the Master’s Programme in Life Science Informatics (LSI) at University of Helsinki in Finland. I received my Bachelor of engineering in bioengineering from the Chinese University of Hong Kong (CUHK) in 2022. Currently, my work involves implementing bioinformatics pipelines and tools to identify alternative splicing at a single cell level.

Research Assistant (Computer Science)

qianqian.xia@helsinki.fi

I am currently pursuing my Master’s degree in Computer Science at the University of Helsinki. In 2024, I took on the role of a research assistant in Chen’s research group, where I am primarily focused on developing a Customized Omics Data Visualization Tool, which optimizes data exploration for biologists and researchers. I’m committed to advancing scientific understanding and innovation in the field of biomedical research.

Master student (MTPP program)

peiyin.chen@stud.ki.se

I am currently pursuing my master’s degree in Translational Physiology and Pharmacology at Karolinska Institutet, with a keen focus on liver-related research. In 2024, I enthusiastically became a part of Chen’s lab to deepen my understanding and skills in bioinformatics.

Affiliated to research

sebastian.nock@ki.se