Alex's experience spans the theory and practice of building trustworthy and robust machine learning systems. Before Inductive, Alex was a Staff Data Scientist at Flatiron Health, where he built ML models for patient risk stratification and electronic health records research, as well as frameworks for model evaluation and bias correction. He has a Ph.D. in Cognitive Psychology from New York University, where his research in the shared statistical biases of human and machine learning was published in journals such as Nature Machine Intelligence.
