Data Scientist, Machine Learning Engineer

Nepal, Microsoft, UTEP, Computational Science

Bibek Aryal
Aryal, Bibek
915-303-6131 Redmond, Washington, USA
Bibek Aryal, Ph.D. is an Applied Scientist at Microsoft with multiple years of experience in the software industry. He was awarded a doctorate in Computational Science from The University of Texas at El Paso in December, 2022.
Applied Scientist II, Microsoft Redmond, WA Nov 2022 - Current
Research Associate, UTEP El Paso, TX Aug 2020 - Oct 2022
Research Programmer, KDC Kathmandu Aug 2016 - Jun 2018
Applications Developer, Upveda Technology Kathmandu May 2015 - Aug 2016
Ph.D Computational Science, UTEP El Paso, TX Aug 2018 - Dec 2022
M.Sc. Computational Science, UTEP El Paso, TX Aug 2018 - Dec 2020
B.Sc. Computer Science and IT, TU Kathmandu Oct 2011 - Dec 2015
Selected Publications
Aryal, B., Miles, K. E., Zesati, S. A. V., & Fuentes, O. (2023). Boundary Aware U-Net for Glacier Segmentation. Proceedings of the Northern Lights Deep Learning Workshop, 4. doi:10.7557/18.6789
Aryal, B., Escarzaga, S. M., Vargas Zesati, S. A., Velez-Reyes, M., Fuentes, O., & Tweedie, C. (2021). Semi-automated semantic segmentation of arctic shorelines using very high-resolution airborne imagery, spectral indices and weakly supervised machine learning approaches. Remote Sensing, 13(22), 4572.
Baraka, S., Akera, B., Aryal, B., Sherpa, T., Shresta, F., Ortiz, A., ... & Bengio, Y. (2020). Machine learning for glacier monitoring in the Hindu Kush Himalaya. arXiv preprint arXiv:2012.05013.
Football, Programming, Photography, Table Tennis.