Summary
Deborah Khider is a Lead Data Scientist and paleoceanographer with 11 years of experience translating complex climate and paleoclimate data into actionable insights using Python, R, and Matlab. With a PhD in Ocean Sciences and a track record at USC, she builds tools (including the pyleoclim Python package) and standards for community-wide paleoclimate data sharing and analysis. She combines Bayesian and Hidden Markov modeling expertise with database and semantic web development to quantify uncertainty in climate reconstructions and guide multidisciplinary teams. Based in Long Beach, she is a certified machine learning practitioner who thrives on turning high-level scientific questions into reproducible, practical workflows and continuously explores new methods to improve inference.
11 years of coding experience
6 years of employment as a software developer
PhD, Ocean Sciences, GPA: 4.0, PhD, Ocean Sciences, GPA: 4.0 at University of Southern California
Bachelor of Science - BS, Oceanography, Chemical and Physical, GPA: 3.93, Bachelor of Science - BS, Oceanography, Chemical and Physical, GPA: 3.93 at Hawaii Pacific University