Yasitha Liyanage is a Senior Data and Applied Scientist at Microsoft, working on machine learning, cloud observability, and causal inference. He builds large-scale anomaly detection and automated outage attribution systems for Azure cloud infrastructure.
He received his PhD in Electrical and Computer Engineering from the University at Albany, State University of New York, in January 2022. His doctoral research focused on dynamic instance-wise decision-making for machine learning. Previously, he worked on credit risk and revenue forecasting as an Applied Scientist Intern at Amazon.
PhD in Electrical & Computer Engineering, January 2022
University at Albany, State University of New York (SUNY)
BSc in Electrical & Electronic Engineering, October 2016
University of Peradeniya, Sri Lanka
Y. Liyanage, K. Hsieh, M. Chintalapati, V. Ramesh, S. Zuehlsdorff
Outside of work, I enjoy volleyball, cycling, hiking, and reading.
Volleyball
Cycling
Hiking
Reading