The current members of the Systems Biology of Drug Resistance in Cancer group.
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.
I am investigating DNA methylation changes underlying the drug response in cancer. My work involves the analysis of bisulfite sequencing data from ovarian cancer patients.
PhD, postdoctoral fellow
I'm focusing on genetic analyses and tumor evolution.
MSc (Biomedical Engineering), PhD student
I am focusing on image analysis techniques.
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 (Data science), PhD student
I'm working on interactive genomic data visualization.
MSc, PhD student
I'm focusing on analysis of circulating tumor DNA for mutations 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.
MSc student (Life science informatics)
I am working on code optimization for analysing methylation changes due to cancer drug treatments.
Msc student (Life science informatics)
I am currently working on the analysis of bulk RNA-sequencing data.
MSc student (Bioinformatics and digital health)
I'm focusing on mass cytometry analysis and image analysis techniques.
MSc student (Genetics and molecular biosciences)
I’m part of the whole-genome sequencing project, on tumour evolution and clinical actionable genomic aberrations.
The goal of my project is to investigate biclustering approaches for a single-cell-RNA expression data, and to investigate whether the obtained clusters associate with known drug resistance pathways and patient response.
I am focusing on image analysis and tumor evolution.
Maintaining and developing the computing infrastucture for the Hautaniemi lab and for a few other research groups in the ONCOSYS research program. I also belong to the university's IT for Science department.
Consulting the lab on infra related issues.