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Resume (English only)
Academic Achievements
Developed the Deep Rendering Model (DRM) based on a generative model, deriving Deep Convolutional Nets and Random Decision Forests from first principles.
Research Experience
Assistant Professor at Baylor College of Medicine, Department of Neuroscience (since January 2016). Research Scientist at Rice University, ECE Department (from 2013). Worked for 2 years at MIT Lincoln Laboratory (2002-2004). Quantitative Trader at Global Electronic Trading Corporation for 4 years (2008-2012).
Education
Ph.D. in Applied Mathematics from Harvard University (2002), advised by Radhika Nagpal; BA, MS in Computer Science and Applied Mathematics from Harvard University (2002).
Background
Research Interests: Deep machine learning and computational neuroscience. Professional Field: Applied Mathematics, Computer Science. Bio: Aiming to bridge neuroscience and deep machine learning by building theories that work in the real world.