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Research and Publications

My expertise is the development and application of machine learning techniques — particularly deep neural networks for processing natural language — to make predictions with large, high-dimensional data sets. 

The results of my academic analyses in the fields of genetics and neuroscience have contributed to a better understanding of a wide range of natural phenomena, including multiple sclerosis, cholesterol levels, morphology, nausea, fear, sleep, visual perception, neuroanatomy, gene expression, and the interaction of genetics with life experience.

In industry, I’ve applied machine learning toward the automation of processes across financial markets, digital advertising platforms, and the field of human resources.

 

Book

Key Peer-Reviewed Papers

Extended-Length Video Tutorials

 

Additional Peer-Reviewed Papers

Served as Technical Reviewer