Summary
Rajan Gyawali is a machine learning researcher and Research Assistant at the Bioinformatics and Machine Learning Lab, University of Missouri–Columbia, bringing a decade of technical experience across academia and industry. His background spans telecom engineering at Nepal Telecom, software engineering, and lecturing roles, giving him a rare mix of practical systems knowledge and deep teaching experience. He holds advanced degrees in computer science and information & communication engineering and is pursuing a PhD, anchoring his work in rigorous research methodologies. Rajan’s cross-disciplinary training in physics and electronics informs his approach to ML for bioinformatics, where he connects signal-processing intuition with modern learning techniques. Comfortable moving between code, classroom, and lab, he leverages real-world telecom systems experience to design robust, deployable models rather than purely theoretical solutions.
10 years of coding experience
4 years of employment as a software developer
Master's degree, Information and Communication Engineering, 90.13%, Master's degree, Information and Communication Engineering, 90.13% at Pulchowk Campus, Institute of Engineering
School, 91.25%, School, 91.25% at New Horizon English Boarding Higher Secondary School - Butwal , Nepal
High School, Physics, Chemistry and Mathematics, 80.9%, High School, Physics, Chemistry and Mathematics, 80.9% at Caribbean Higher Secondary School - Lalitpur, Nepal
Bachelor's Degree, Physics, First Division, Bachelor's Degree, Physics, First Division at Amrit Campus - Kathmandu, Nepal
Bachelor's Degree, Electronics and Communication Engineering, 82.06%, Bachelor's Degree, Electronics and Communication Engineering, 82.06% at Himalaya College of Engineering , Tribhuvan University
University of Missouri
English, Hindi, Nepali