Furong Huang


My research interests include machine learning, high-dimensional statistics and distributed algorithms.


I enjoy both the theoretical analysis and practical implementation of parallel spectral methods for latent variable graphical models. 


Applications include natural language processing, image analysis, commonality detection and recommendation systems in social networks, and cell type detection using brain images in neuroscience. 





Postdoctoral Researcher at MSRNYC



Previous Research Experience:


Advisor:       Animashree Anandkumar

Research Intern at Microsoft Research New England
Mentor:    Jennifer Chayes     Christian Borgs 

Research Intern at Cloud and Information Services Lab (CISL /'sɪzəl/) in Microsoft 
                                               
Mentor:    Paul Mineiro     Nikos Karampatziakis


News

  • Talk at MLconf NYC Furong gave a talk at Machine Learning Conference at NYC, see slides here.  Check this link to see @furongh receiving MLconf Industry Impact Student Research Award by @google's Dir ...
    Posted Apr 16, 2016, 3:50 PM by Furong Huang
  • Bigneuro workshop NIPS 2015 Furong is giving a talk at the bigneuro workshop NIPS 2015, Dec 12, 2015.
    Posted Dec 10, 2015, 6:02 PM by Furong Huang
  • Non-convex Optimization Workshop NIPS 2015 Furong is giving a talk at the non-convex optimization workshop NIPS 2015, Dec 12, 2015.
    Posted Dec 10, 2015, 6:01 PM by Furong Huang
  • Feature Extraction Workshop NIPS 2015 Furong is presenting a poster at this workshop, Dec 11, 2015. 
    Posted Dec 10, 2015, 5:56 PM by Furong Huang
  • Healthcare Workshop NIPS 2015 Furong is presenting a poster at this workshop, Dec 11, 2015. 
    Posted Dec 10, 2015, 5:55 PM by Furong Huang
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