Summary
Aahlad Puli is a machine learning researcher with a decade of experience blending causal inference theory and applied ML, currently based in New York. He has worked across academia and industry—contributing to medical data pipelines at Columbia, clinical ML research at NYU, and an Adobe research internship—bringing rigorous statistical thinking to real-world health and product problems. Pursuing a PhD in Computer Science at NYU after earning an MS with a 3.925 GPA and engineering degrees from IIT Madras, he pairs deep academic training with hands-on software development skills. Known for translating complex inference methods into actionable systems, he’s comfortable shipping end-to-end solutions from web stacks to clinical ML models. An understated strength is his cross-domain fluency: he moves between teaching, research, and production code with equal ease.
11 years of coding experience
2 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at New York University
English, Telugu, Tamil, Hindi