Summary
Nelson Johansen is a scientist with 11 years of experience applying machine learning, deep learning, and statistical modeling to genomics problems, currently focused at the Allen Institute. He develops models to dissect cell state changes in disease and to predict effective drug combinations and targets, translating computational insights into experimental hypotheses. His background includes a PhD trajectory at UC Davis and a B.Sc. in Computer Science, blending rigorous quantitative training with practical software engineering. Nelson also brings startup experience as a co-founder and mobile/backend developer, giving him a pragmatic appreciation for production-ready code and scalable data pipelines. Based in Woodland, California, he bridges academic rigor and applied product thinking to accelerate translational biology. Colleagues value his ability to turn complex genomic signals into actionable models that inform downstream experiments.
11 years of coding experience
1 year of employment as a software developer
Bachelor of Science (B.Sc.), Computer Science, Bachelor of Science (B.Sc.), Computer Science at University of California, Davis