I am Ph.D. qualified Applied Scientist at Amazon, working at the cutting-edge of Machine Learning and Artificial Intelligence promoting technical innovation and discovery.

As part of my prior experience and Ph.D. work, I engineered and developed neuro-inspired AI algorithms to extract meaningful information from complex datasets. Some of my previous work involved dealing with text, images, genomic and neural activity data to perform entity resolution, parse ROIs, neural feature classification, identify markers of neurological diseases and identify odor identity and intensity.

Research interests: artificial intelligence, probabilistic and sequential data modeling, neuro-inspired technology, transfer learning, signal processing, dimensionality reduction and generative methods