Scholar

Ankit B. Patel

Google Scholar ID: Gbe5UncAAAAJ

Assistant Professor, Baylor College of Medicine, Rice University

AI for Science & MedicineDeep Machine LearningComputational NeuroscienceBiologically Inspired ComputingMachine Learning

Citations & Impact

All-time

Citations

2,778

H-index

i10-index

Publications

Co-authors

Resume

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.

Miscellany