My work focuses on developing new computational methods for modeling and analyzing very large biological datasets. As part of this effort I have worked on the analysis of high throughput genomics and imaging data and on using machine learning, statistical algorithms and signal processing techniques to address problems ranging from experimental design to data analysis, pattern recognition and systems biology. Over the last few
years and I have also looked at the other direction: How can we derive new AI algorithms from insights regarding the way biological systems operate and compute.