Merel Kuijs
PhD
Helmholtz Munich
Machine Learning for Single-Cell Omics

In spite of the massive effort in ensuring drug safety and efficacy, some drugs fail to achieve a therapeutic effect and others have severe side effects. A personalized approach to medicine is needed to maximize every patient’s chance of recovery and relieve pressure on healthcare systems, but data to inform precision medicine had long been lacking. Recently, single-cell sequencing technology has generated a wealth of new biological data, enabling biologists to study biological systems at unprecedented resolution. My work focuses on the development of methods to interrogate complex single-cell data. My goal is to turn this data into an understanding of the individual patterns that underlie health and disease, gaining actionable insights that will advance precision medicine.

Track:
Academic Track
PhD Duration:
August 1st, 2021 - July 31st, 2024
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