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 on Brain and AI.


12/09/2018 Modeling Brain Dynamics: van der Pol, LSTMs and beyond. Invited talk at Montreal AI & Neuroscience (MAIN) conference, Montreal.

11/14/2018 AI for Neuroscience and Neuroscience for AI. Invited  talk at MLconf 2018, San Francisco.

11/14/2018 AI and Neuroscience. Helsinki Distinguished Lecture Series on Future Information Technology, Aalto University, Aalto, Finland.

9/13/2018 AI for Mental Health.  Plenary talk at Brazilian Congress of Innovation in Psychological Assessment and Neuroscience, Porto Allegre, Brazil.

7/18/2017 Brain and AI. Pleanry talk at SAI conference.   Interview at SAI

3/28/2017 Learning About the Brain and Brain-Inspired Learning.  Invited talk at MLconf NYC.

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

11/2015  MLconf @ San Francisco



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