Zachary Lipton

Zachary Lipton is Cofounder & CTO at Abridge, the leading platform for AI-based ambient listening technology in healthcare. Abridge’s industry-leading product listens to doctor-patient conversations and ingests reams of content from the EHR, leveraging its intelligent reasoning engine to generate high-quality drafts of after-visit notes & other artifacts. This automation frees up doctors to focus on their patients.

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He is also the Raj Reddy Associate Professor of Machine Learning at Carnegie Mellon University, where he directs the Approximately Correct Machine Intelligence (ACMI) lab. Research focuses include the theoretical and engineering foundations of robust and adaptive machine learning algorithms, applications to both prediction and decision-making problems in clinical medicine, natural language processing, and the impact of machine learning systems on society. A key theme in his research is to take advantage of causal structure underlying the observed data while producing algorithms that are compatible with the modern deep learning power tools that dominate practical applications.

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He is the founder of the Approximately Correct blog (approximatelycorrect.com) and a co-author of Dive Into Deep Learning, an interactive open-source book drafted entirely through Jupyter notebooks that has reached millions of readers. He can be found on X (@zacharylipton), GitHub (@zackchase), or his lab's website (acmilab.org).