Congratulations to Zaid Harchaoui who received a promotion to Full Professor, effective September 16, 2022!

Dr. Zaid Harchaoui is a core faculty member in the Department of Statistics. He is also an adjunct faculty member in the Paul G. Allen School in Computer Science and Engineering, and a Senior Data Science Fellow in the eScience Institute. Dr. Harchaoui also serves as a member of the executive committee for the Institute for Foundations of Data Science (IFDS), one of the first two Institutes funded under the National Science Foundation’s TRIPODS program.

Dr. Harchaoui’s research interests focus on robust statistical machine learning, learning feature representations of complex data, and computationally-efficient optimization algorithms for learning and inference. In recent years, he has also become interested in reliable and acceptable machine learning, marine ecology, federated learning, and neuro-rehabilitation using machine learning.  His research has been funded by various federal agencies, most recently by National Institute of Mental Health (NIMH) of the National Institutes of Health for his research on “Explainable Machine Learning to Guide Prefrontal Brain Stimulation”, and by the National Science Foundation for his research on “Scaling Laws of Deep Learning”.