Alex Ratner
Co-Founder & CEO, Snorkel AI | Assistant Professor of Computer Science, University of Washington
Co-founder and CEO of Snorkel AI, pioneering programmatic data labeling, synthetic curation, and alignment for enterprise foundation models. Assistant Professor of Computer Science at the University of Washington. Completed his PhD at Stanford University in the Stanford DAWN lab, where he created Snorkel to replace manual hand-labeling with programmatic weak supervision, generative labeling functions, and statistical label aggregation.
Areas of focus
Professional niches
Proof of Work
Snorkel: Rapid Training Data Creation with Weak Supervision
Created the Snorkel open-source system and paradigm, using generative probabilistic modeling to combine noisy heuristic rules, knowledge bases, and small models into high-accuracy probabilistic training labels without manual annotation.
Heuristic labeling functions can introduce correlated bias if domain experts write overlapping or conditionally dependent heuristics without proper graph independence modeling.
Context: Probabilistic generative label models, matrix completion, weak supervision algorithms.
View missionData-Centric AI and Programmatic Curation for Foundation Model Post-Training
Authored technical papers establishing the primacy of data curation over model architecture tuning in enterprise LLM adaptation, demonstrating that programmatic alignment yields higher benchmark gains than parameter scaling.
Highly specialized enterprise domains (such as clinical medical ontology or complex derivative trading) require expert human-written labeling functions.
Context: Foundation model post-training, DPO/RLHF preference data synthesis, enterprise fine-tuning benchmarks.
View mission