Summary
Stephen Kotiang is a Machine Learning Developer with nine years of experience building and deploying predictive models at the intersection of graphical modeling, statistics, and algorithm optimization. Currently at SAS, he brings a strong research pedigree from a PhD in Electrical Engineering & Computer Science where his work produced multiple publications and achieved predictive accuracy within 5% for biological network dynamics. He has hands-on expertise in MATLAB and Python, translating complex theoretical models—such as gene regulatory functions in E. coli—into solutions that match experimental data over 90% of the time. Stephen excels at moving projects from ideation through feasibility to production, has a proven record securing and renewing research funding, and enjoys mentoring students and colleagues. Comfortable in fast-paced, collaborative environments, he combines academic rigor with practical engineering to tackle applied ML problems. Outside of work he’s an avid hiker and gardener, reflecting a detail-oriented and patient approach to both research and life.
9 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Electronic Engineering, Master of Science - MS, Electronic Engineering at Chonbuk National University
Zero To Mastery Academy
Doctor of Philosophy - PhD, Electrical Engineering & Computer Science, Doctor of Philosophy - PhD, Electrical Engineering & Computer Science at Wichita State University
Bachelor of Technology - B.Tech., Electrical & Communications Engineering, First Class honors, Bachelor of Technology - B.Tech., Electrical & Communications Engineering, First Class honors at Moi University
Korean Language and Literature, Korean Language and Literature at Inha University
English, Korean, Swahili