Summary
Adam Officer is a computational biologist and postdoctoral associate with 11 years of interdisciplinary experience applying statistical and mathematical modeling to cancer signaling, multi-omics data, and phosphoproteomics. He earned a PhD in Biomedical Informatics from UC San Diego, where he developed comparative cell–cell interaction methods and modeled cancer evolution under the joint mentorship of Silvio Gutkind and Pablo Tamayo. His background spans hands-on mass spectrometry and lab automation at the Broad Institute to large-scale RNA-seq, RPPA, proteomics, WES and public cancer dataset analysis (TCGA, CCLE). At UPMC Hillman Cancer Center he translates computational hypotheses into testable bench experiments, bridging data science and translational oncology. He brings a practical bent—designing normalization tools and public data portals to reduce batch effects and improve reproducibility—paired with a strong track record of collaboration across labs.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS) Chemistry and Biochemistry, Bachelor of Science (BS) Chemistry and Biochemistry at University of Washington
University of California, San Diego