The current members of the Systems Biology of Drug Resistance in Cancer group.
PhD, Senior scientist, Docent in Genetics
I work as a senior researcher part time in the Hautaniemi Lab and mostly in the Aaltonen lab. The focus of the Hautaniemi research group is to understand and find effective means to overcome drug resistance in cancers, especially in High Grade Serous Ovarian Cancer. 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 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, 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.
BSc (Biomedical Science)
My focus is on computational analysis of ctDNA , data visualisation and pipeline documentation.
I am working on data visualization.
MSc student (Bioinformatics and digital health)
I'm focusing on mass cytometry analysis and image analysis techniques.
MSc student (Complex systems)
I am currently working with gene data, focusing on implementing machine learning models to the data.
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'm implementing, integrating and evaluating tools for data analysis and visualization.
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.