Summary
Daniel Marew is a PhD candidate and research assistant at UMass Amherst’s DARoS Lab with a decade of experience bridging control systems, robotics, and machine learning. Trained at Carnegie Mellon (M.S. ECE) and Addis Ababa University (B.Eng.), he has taught core CS and robotics courses while contributing to research-driven applied control projects since 2019. His background combines hands-on internship experience at iCog Labs with TA roles in data structures, ML, and cognitive robotics, reflecting both strong pedagogical skills and practical system development. Known for translating academic research into experimental systems, he operates at the intersection of theory and implementation, often focusing on robust, real-world control solutions.
10 years of coding experience
Bachelor's degree, Electrical and Computer Engineering, Bachelor's degree, Electrical and Computer Engineering at Addis Ababa University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts Amherst
Master's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at Carnegie Mellon University