Summary
Ulas Karaoz is a PhD-trained computational biologist and staff research scientist at Berkeley Lab with a decade of experience applying statistics, machine learning, and engineering to high-throughput genomics. His background in electrical engineering and signal processing underpins a quantitative approach to gene regulation, tissue-specific expression, and comparative/functional genomics. He has deep expertise in whole-genome annotation, microarray analysis, and phylogenomics, and enjoys translating complex genomic data into biologically actionable insights. Based in Walnut Creek, CA, he is driven to leverage the latest biotechnology to improve human health, combining academic rigor from Boston University with hands-on research at a national lab. An often-overlooked strength is his signal-processing perspective, which informs creative feature engineering and noise reduction strategies in genomic datasets.
10 years of coding experience
High School, High School at Lycée de Galatasaray
BS, Electrical and Electronics Engineering-Signal Processing Track, BS, Electrical and Electronics Engineering-Signal Processing Track at Bilkent University, Ankara, TURKEY
Ph.D, Bioinformatics and Systems Biology, Ph.D, Bioinformatics and Systems Biology at Boston University
English, French, German, Turkish