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I joined Blueprint Genetics in May 2018. I have a strong research background - specifically, I have a PhD in theoretical mathematics and I did post-doctoral work in computational mathematics. Afterwards, I went on to work as a research engineer at a tech company in the field of natural language processing and text understanding; my responsibilities there focused on implementing and applying various machine-learning and artificial-intelligence algorithms.

As a data scientist at Blueprint Genetics, I apply data-mining techniques to clinical genetics data. The aim is to develop new and more reliable decision support tools for the benefit of the clinical interpretation team. On the one hand, my work at Blueprint is challenging and, with that, intellectually stimulating; on the other hand, the end goal is concrete and, due to its clinical applicability, highly motivating. A further source of motivation in my day-to-day work is the collaborative spirit in the office - geneticists, software developers, bioinformaticians, and data scientists are all equally intrigued by other teams' work, excited to share ideas, and interested to learn from one another.

 

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