We are always looking for talented bioinformaticians or candidates with experience in computational biology interested to work in the field of genomics to understand gene regulatory mechanisms using next-generation sequencing datasets.
Also, experimental scientists interested in modern, cutting-edge functional genomics tools for epigenetics research in cancer, gene regulation by transcription factors in cancer, bioinformatics and computational analysis of genome-wide datasets are always encouraged to be in touch.
I am a Docent (Adjunct Professor) in Molecular Genetics from the Faculty of Medicine at the University of Helsinki.
I am a molecular biologist by training with specialization in cancer research, mainly in transcription factor function and gene regulation in cancer. My area of expertise is in transcription factor biology using several genome-wide functional genomics methods (ChIP-seq/nexus, bulk/single-cell RNA-seq), chromatin conformation (ATAC-seq, DHS-seq), chromatin architecture methods (in situ HiC, ChIA-PET), cell fate conversion using transcription factors (transdifferention) and high-throughput enhancer assays (MPRAs such as STARR-seq).
I am a Principal Investigator within the Applied Tumor Genomics program of the Research Programs Unit at the Faculty of Medicine, University of Helsinki. As a principal investigator, I am leading the Enhancer Biology lab to understand the role of lineage-specific transcription factors and their collaboration with cancer-specific oncogenes in driving tumorigenesis.
I am an iCANDOC PhD student in the Doctoral Program in Biomedicine (DPBM) and doing my doctoral thesis in the Sahu lab. I am interested in understanding the role of non-coding genome in gene regulation. In particular, I am looking at the transposable elements and their role in oncogenic repogramming of enhancers. I am involved in the computational analysis of RNA-seq (bulk and single-cell) data for gene expression, transcription factor binding, chromatin accessibility and functional enhnacer activity data using massively parallel reporter assays such as STARR-seq. I am also analyzing long-read nanopore sequencing data for improved mapping of repetitive elements in cancer cells.
I am a PhD student in the Integrative Life Sciences (ILS) doctoral program doing my doctoral thesis in the Sahu lab. I am interested in understanding the role of cancer-specific enhancers and specifically the super enhancer architecture in primary and cancer cells. In particular, I am involved in the data analysis of next-generation Illumina sequencing datasets of genome-wide transcription factor binding, epigenetic modifications and chromatin accessibility. Currently, I am working on the role of lineage-specific trnascription factors in pancreatic ductal adenocarcinomas.
I am a PhD candidate doing my research in the Sahu lab. I am interested in applying machine learning and deep learning methods for understanding the structure and fucntion of human enhancers, I am involved in the data analysis of next-generation Illumina sequencing datasets of genome-wide transcription factor binding, epigenetic modifications, chromatin accessibility and massively parallel reporter assays such as STARR-seq and lentiMPRAs.
I am a lab manager in the Sahu lab and work involves laboratory management duties and assisting researchers in their projects.