Scholar
Nakul Verma
Google Scholar ID: ufzrGe8AAAAJ
Columbia University
Citations & Impact
Citations
1,386
H-index
16
i10-index
23
Publications
20
Co-authors
19
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Representative Publications:
- - Time-accuracy tradeoffs in Kernel prediction: controlling prediction quality (with Samory Kpotufe, published in Journal of Machine Learning Research (JMLR), 2017)
- - Sample complexity of learning Mahalanobis distance metrics (with Kristin Branson, published in Neural Information Processing Systems (NIPS), 2015)
- - Distance preserving embeddings for general n-dimensional manifolds (published in Journal of Machine Learning Research (JMLR), 2013)
Research Experience
- Worked as a Research Specialist at Janelia Research Campus, HHMI, developing statistical techniques to quantitatively analyze neuroscience data. Also worked as a Research Scientist at Amazon, developing risk assessment models for real-time fraud detection.
Education
- PhD in Computer Science from UC San Diego, specializing in Machine Learning.
Background
- Director of the Data Science Master program and a senior teaching faculty member at Columbia University, focusing on Machine Learning, Algorithms and Theory. Primary research area is Machine Learning and High-dimensional Statistics.
Miscellany
- Contact:
- - Office: 414 Mudd
- - Email: verma [at] cs.columbia.edu
- - Phone: 212-853-8471
- - Address: 500 W120 St, MC 0401, New York, NY 10027
