Missoula, MT
Nicholas Eriksson
Director, Machine Learning Integrated Phenotyping
Hometown:
Education:
Ph.D. in mathematics, UC Berkeley
Previous Experience:
Before insitro, I worked (twice) at 23andMe, using machine learning and GWAS to understand complex diseases and traits and to build models of how people change. In between these two periods, I worked as a computational biologist at Calico and as a data scientist at Coursera.
Responsibilities at insitro:
How can we combine genetics and multi-modal phenotyping to better understand human disease?
Other insitrocytes Describe Me As:
succinct
