Irina Rish  Irina Rish photo       

contact information

Research Staff Member, AI Foundations Group
T. J. Watson Research Center, Yorktown Heights, NY USA



I am a Research Staff Member (RSM) at IBM T.J. Watson Research Center. I received MS in Applied Mathematics from Moscow Gubkin Institute, Russia, and PhD in Computer Science from the University of California, Irvine. My primary research interests are in the areas of probabilistic inference, machine learning, and information theory. Particularly, I have done work on approximate inference in graphical models, information-theoretic experiment design and active learning, with applications are in the area of autonomic computing - automated management of complex distributed systems, which includes various diagnosis, prediction and online decision-making problems. My current research is in the area of machine-learning applications to computational biology and neuroscience, with a particular focus on statistical analysis of brain imaging data such as fMRI.  In the past years, I taught several graduate courses at Columbia University as an adjunct professor at the Department of Electrical Engineering: Statistical Pattern Recognition (ELEN E6880) in Spring of 2002 and 2003, and Sparse Signal Modeling (ELEN E6898) in Spring of 2011. In Spring 2007, I also taught a machine-learning class on Learning and Empirical Inference (COMS 6998-4) at the Computer Science Department of Columbia. I co-organized several workshops at various machine-learning conferences. I am currently serving on the editorial board of the Artificial Intelligence  Journal (AIJ). 

Here is my personal webpage.


Sparse Modeling                   Practical Applications of Sparse Modeling                     Proc. of MLINI-2014        Proc of MLINI-2011

Sparse Modeling     Practical Applications of Sparse Modeling    Proc. MLINI-2014     Proc. MLINI-2011



12/8/2016   Learning About the Brain:  Neuroimaging and Beyond. Plenary talk at NIPS-2016, Barcelona, Spain  (talk slides)

11/2015  MLconf @ San Francisco



IBM 5 in 5: With AI, our words will be a window into our mental health


Forget me not: US Patent 9177257

IBM Research scientists James Kozloski, Cliff Pickover, and Irina Rish's US Patent 9177257, or "Non-transitory article of manufacture and system for providing a prompt to user for real-time cognitive assistance" could help those with chronic memory loss remember, via a cognitive digital assistant.


Collaboration with U. of Alberta:  IBM News Release (24 June 2015)

Computational Psychiatry – Eliminating the Guesswork of Treating Mental Illness, Moods Magazine, Fall 2015 issue

Mental State Recognition via Wearable EEG: The Stack (3/2/16), (2/4/16), (2/16/16)