Kyle is Senior Deep Learning Data scientist at Intel Nervana, where he uses machine learning and deep learning methods to solve real-world analytical problems. He has a B.A. in Biological Psychology from Wheaton College, and a Ph.D. in Bioinformatics from Oregon Health & Science University, where his research focused on scalable machine learning-based methods for unstructured data curation and the application of artificial intelligence in the Neurosciences. At Intel Nervana, his team creates deep learning solution prototypes and researches optimization strategies for deep learning networks for text analytics, natural language processing, and image recognition.
Key Considerations for Building a Robust Data Strategy
May 16, 2018
Many business and IT leaders are focused on developing comprehensive data strategies that enable data-driven decision making. A 2016 IDG...
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Innovations in Deep Learning at International Conference on Learning Representations
May 31, 2017
Dinner time in a foreign country is always an adventure for me. "Je lutte contre produits laitiers." My waiter looked...
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