Assistant Professor, Paul G. Allen School of Computer Science & Engineering
data science, data management and visualization and machine learning
Ph.D. Computer Science, Stanford University, 2019
A.B. Physics, Harvard University, 2011
Alex Ratner joins the Allen School this fall as an assistant professor, where his work focuses on systems and techniques for making machine learning more practical for use in real-world settings ranging from medicine to industry. Alex's work focuses especially on data management and weak supervision techniques for training machine learning models in settings where large expert-labeled "training datasets" are not available or practical to create.
While pursuing his Ph.D. at Stanford, Alex led the development of Snorkel, an open source library for programmatic training data labeling, enabling deployment of large-scale AI applications in hours or days rather than months or years. After deployment at companies like Google, Apple, and Intel, academic labs and government agencies, Alex co-founded Snorkel AI, which supports a commercial platform version of Snorkel.