Using systems biology to model and predict human diseases

在过去的十年里，技术的进步推动了生物学的研究向统计和计算科学发展。研究人员现在能够在以前无法想象的水平上区分和量化生物分子，使我们能够以公正的、系统水平的方式研究它们的相互作用以及与健康和疾病的关系。凭借在生物信息学、生物统计学和系统生物学方面的专业知识，我在应对这些挑战方面处于独特的地位。

In the last decade, technological advances have driven the study of biology towards the statistical and computational sciences. Researchers are now able to differentiate and quantify biomolecules at levels previously unimaginable, allowing us to study their interactions and relationships to health and disease in an unbiased, systems-level manner. With expertise in bioinformatics, biostatistics and systems biology, I am uniquely placed to address these challenges.