About me

My practical and theoretical background enables me to take an integrative omics approach to identify driver genetic alterations, genes and biological pathways that are relevant for the pathophysiological behaviour and treatment response of tumors and rapidly translate these finding to pre-clinical experiments and clinical practice. Key aspect of my research is creating large scale omics datasets and analysing these with machine learning algorithms capable of distilling complex multifactorial information from multifactorial big data.

In supplementation to my training as a medical oncologist, I completed one year of Mathematics and Computer Science. after which I continued to obtain my MSc degree in Cognitive Science and Engineering (Artificial Intelligence).

In parallel to my medical studies, I worked for several years as a bio-informatician at the Department of Genetics, UMCG. In 2010, I obtained my PhD on high dimensional data analysis for new insights into ovarian cancer phenotypes, after which I continued as an affiliated post-doc at the Departments of Genetics and Medical Oncology (UMCG).

I followed the residency program in Internal Medicine / Medical Oncology and now work as a board-certified internist and medical oncologist at the department of Medical Oncology at the UMCG, involved in care, teaching and research. In addition, I am a principal investigator at the Cancer Research Center Groningen. I founded my own research group in which I supervise PhD students with various backgrounds: bio-informaticians, clinicians, statisticians and biologists.

Google Scholar /// ResearchGate /// Research ID /// ORCID /// loop.frontiers.org /// University Medical Center Groningen (UMCG) /// University of Groningen (RuG)

Figure 6 of Bhattacharya et al. Nature Communications 2020.