Summary
Newsha Ardalani is a research scientist with nine years of experience at the intersection of large-scale machine learning, computer architecture, and NLP, currently working at Facebook AI in Los Angeles. She combines deep academic training (PhD in Computer Sciences from UW-Madison) with practical systems expertise developed at Baidu Research, where she led hardware/software co-design for ML training and studied high-dimensional loss surfaces. Her work spans power/performance modeling for different parallelism strategies and hardware accelerators, plus empirical studies on how model and dataset scaling impact training time and accuracy. Prior consulting built a spatial architecture compiler, showing she can move from compiler-level implementations to cloud-scale ML research. She is comfortable bridging theory and production constraints, optimizing both algorithmic behavior and underlying hardware utilization. Newsha’s profile suggests a rare blend of rigorous research and hands-on systems engineering that drives measurable efficiency gains in large-model training.
9 years of coding experience
3 years of employment as a software developer
PhD., Computer Sciences, PhD., Computer Sciences at University of Wisconsin-Madison
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Sharif University of Technology