DTech, Professor of Systems Biology

Principal investigator of the group. For more information see personal homepage.


PhD, Senior scientist, Docent in Genetics

I work as a senior researcher in the Hautaniemi Lab. The focus of the research group is to understand and find effective means to overcome drug resistance in cancers, especially in High Grade Serous Ovarian Cancer. Although I am participating in most of the projects in the lab I am particularly interested in using multi-omics sequencing data to gain understanding  of tumor heterogeneity and evolution in chemoresistance. Biological and clinical interpretation of results from genomics and genetics data is crucial part of my work.

DSc, postdoctoral fellow

My work involves developing statistical methods for analysis and integration of ovarian cancer data at multiple levels to suggest efficient combinatorial treatments.

PhD, postdoctoral fellow

I'm focusing on genetic analyses and tumor evolution.

MSc (Biomedical Engineering), PhD stu­dent

I am focusing on image analysis techniques.

MSc (Bioinformatics), PhD student in DPBM

My main interest is on the molecular mechanisms and markers that regulate chemoresistance in cancer. My research is focused on machine learning approaches to mass cytometry (CyTOF), proteomics, and genomics data of high grade serous ovarian cancer samples.

MSc (Bioinformatics), PhD student in DPBM

My research is focused on finding driving mechanisms in cancer and other diseases using genomic and transcriptomic data. I am also interested in testing and developing methods for RNA-Seq data analysis.

MSc (Bioinformatics), PhD student

My projects focus identifying epigenetic mechanisms responsible for drug resistance in cancer. I work with bisulfite sequencing data in order to analyze DNA methylation patterns in Diffuse Large B-Cell Lymphoma (DLBCL) and High-Grade Serous Ovarian Cancer (HGSOC). I am also involved in a drug screening project where we are testing different epigenetic inhibitors to re-sensitize DLBCL cell lines that are resistant to the standard treatment.

MD, PhD student

My current job is to develop ways to predict ovarian cancer outcome and determine optimal treatment strategy using clinical and genetic data. The work involves automating clinical data downloading from Turku University Hospital's electronic health records and combining it with other research data. I am also developing clinical data visualization and creating a machine learning approach to clinical data analysis.

MSc (Applied mathematics), PhD student

I am working on RNA-Seq data analysis.

MSc (Bioinformatics), PhD student

My current projects focus on mathematical modeling to understand treatment resistance in ovarian cancer.

MSc (Systems Biology), PhD student

My main interest is on the cancer transcriptomics, at both single-cell and bulk level, to understand the mechanisms leading to chemoresistance in ovarian cancer. I am also working on the development of computational pipeline to analyze circulating tumor DNA for somatic and germline mutations.

Medical student

MSc student

I am working on data visualization.

MSc student

BSc student

I'm implementing, integrating and evaluating tools for data analysis and visualization.

Medical student

My work currently relates to mechanisms of platinum drug resistance in cancer.

BSc student

BSc student (Bioinformation technology)

My project is about finding ways to detect copy number variations in ctDNA.

PhD, consultant

Consulting the lab on infra related issues.

Project coordinator

I'm the project manager for the EU project HERCULES and a coordinator of the Center of Excellence in Cancer Genetics, among other projects. In addition to follow-up and reporting of existing projects, my work includes also new research funding applications.