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Photo: Robert Osazuwa Ness

Robert Osazuwa Ness

Machine Learning Professor
AltDeep, Northeastern University
Connect with Robert Osazuwa

Robert didn't start in machine learning. He started his career by becoming fluent in Mandarin Chinese and moving to Tibet to do developmental economics fieldwork. He later obtained a graduate degree from Johns Hopkins School of Advanced International Studies.

After switching to the tech industry, Robert's interests shifted to modeling data. He attained his Ph.D. in mathematical statistics from Purdue University, and then he worked as a research engineer in various AI startups (he is currently a ML research scientist at Gamalon). He has published in journals and venues across these spaces, including RECOMB and NeurIPS, on topics including causal inference, probabilistic modeling, sequential decision processes, and dynamic models of complex systems. In addition to startup work, he is a machine learning professor at Northeastern University.

Podcast Episodes

Conference Sessions

TWIMLfest  2020
This panel will bring together AI/ML practitioners and instructors from various specializations to discuss their journey in creating artificial intelligence/machine learning courses for the community. We'll discuss how to identify the knowledge or skill gap to be addressed in your course, the steps to refine the scope and timeline of that course, useful tools and resources, best practices, and more.