Saumya Kumar
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Biosketch
I am a skilled bioinformatician with over ten years’ experience working in the field of biomedical research. During my PhD, I worked extensively on single cell transcriptomics and big data analysis of immune datasets at Instituto de Medicina Molecular, University of Lisbon, Portugal. Although I am a recent PhD graduate from the University of Lisbon, I have worked for five years as a computational research scientist at MRC Harwell near Oxford, UK , before starting my PhD. This research experience allowed me to develop my skillset and expertise in a variety of fields, particularly bioinformatics application in genomics, transcriptomics, proteomics, and drug design and discovery.
I completed my Masters at the University of York UK in the field of computational biology, and my bachelors degree, also in bioinformatics, from Dr. D.Y.Patil Institute in Mumbai, India. My unusual career path has helped me develop expertise in working on interdisciplinary topics, particularly on the application of big data analysis at the confluence of basic and clinical sciences. My research was published in high-impact publications, in Science Immunology and Nature Communications, and I received prestigious awards and scholarships, from Marie-Curie ITN and from the Lindau Nobel Laureate Conference.
Testimony
I did my PhD at IMM at Luis Graca lab and it was a great experience to work here. Being a bioinformatician by training, I have always felt amiss of biological interpretation of computational findings. My research experience in a purely experimental lab helped me understand and opened new doors to combine my computational expertise in better understanding and interpretation of biological data.
I was also able to contribute in more informed experimental designs for big data generation and use of various emerging next generation technologies to examine intricate biological questions which are otherwise difficult to study purely based on experimental strategies. The 5 year experience has really helped me to bridge the gap in my understanding of computational sciences with biological data interpretation.
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