Hello, my name is Marcus!

I'm a scientist in Richard Durbins group at the Sanger Institute working with population-scale data from humans and other vertebrates to perform 'big data' analysis in genomics and medicine. I work at the interface between the computational, mathematical, and biological sciences.

Biography

Marcus D. R. Klarqvist is a PhD student in the Wellcome Trust Mathematical Genomics and Medicine programme in the Cambridge Computational Biology Institute at Department of Applied Mathematics and Theoretical Physics, Gonville and Caius College, University of Cambridge. He is currently a PhD student in Richard Durbin group at Wellcome Trust Sanger Institute. In short, he works at the interface between the computational, mathematical, and biological sciences, making heavy use of both second- and third-generation genome-wide technologies to advance basic and translational medical research. Read more about his research

He received his BSc. and a two-year MSc. in Molecular Biology from Lund University including courses taken at Stockholm University and Karolinska Institutet. He worked for almost two years as both a wet-lab and bioinformatics scientist in the Arsenian-Henriksson lab at the Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet investigating (1) non-coding micro-RNAs in high-risk paediatric neuroblastoma and (2) comprehensive integrative analysis of almost 2,000 neuroblastoma patients. Later, he moved over to the Functional Breast Cancer Genomics group at Cancer Research UK-Cambridge Institute, University of Cambridge, led by Prof. Carlos Caldas to investigate the absolute copy number landscape of breast cancers in over 3,500 cancer genomes and >5,000 normals and further integrate this with >7,600 transcriptomes. Most recently, he worked for almost two years as a bioinformatics/computer scientist at the JDRF/Wellcome Trust Diabetes and Inflammation Laboratory at Cambridge Institute for Medical Research under Prof. John A. Todd developing computational software (POLYGON, Djinn, and Prosequtor) to solve various next-generation sequencing problems.

In addition to his penchant for biology, he also has a keen interest in algorithms, data structures, high-performance computing (GPU, Map/Reduce, Scatter/Gather, MPI, vectorization, and local threading) and big data analysis in genomics and medicine. He is fluent in C, C++, R, Python, JavaScript, HTML/CSS and proficient in Assembly, Java, CUDA/C, OpenCL/C, Fortran, Perl, PHP, MySQL, and PostgreSQL.

Read more about my research

Timeline

2016

Wellcome Trust Sanger Instititute and Gurdon Institute: PhD student in Richard Durbin and Eric Miska labs

2015

University of Cambridge, Department of Applied Mathematics and Theoretical Physics: PhD student in Mathematical Genomics and Medicine

2014

University of Cambridge, Wellcome Trust/JDRF DIL, Cambridge Institute of Medical Research (CIMR): Bioinformatics Scientist

2014

Cancer Research UK Cambridge Institute: Research Student

2012

Karolinska Institutet, Department of Microbiology, Tumor and Cell Biology: Research Assistant

2009-2012, 2013

Finished BSc. and 2 year MSc. in 3 years

Lund University: Master of Science (MSc)(2 year), Molecular Biology

Lund University: Bachelor of Science (BSc), Molecular Biology