CSE Seminar: Alan Qi

Event Details
  • Date/Time:
    • Friday March 11, 2011
      1:00 pm - 2:00 pm
  • Location: Klaus 1447
  • Phone: (404) 385-4785
  • URL:
  • Email: lometa@cc.gatech.edu
  • Fee(s):
  • Extras:

Alex Gray



Summary Sentence: Scalable Bayesian learning for complex and massive data

Full Summary: CSE Seminar By: Alan QiScalable Bayesian learning for complex and massive data

Alan Qi

Assistant Professor at Purdue University in Computer Science and Statistics


Scalable Bayesian learning for complex and massive data


Computational analysis of complex data has become a driving force for scientific discovery and engineering applications. It is, however, often a challenging task due to the high dimensionality and the massive size of datasets. To address these challenges, we build sparse, relational, dynamic and nonparametric Bayesian models driven by various applications and develop efficient, scalable inference methods.  In this talk, (i) I will describe a novel sparse Bayesian model that integrates generative and conditional models to select correlated variables, such as whole genome SNPs. (This model addresses the p>>n problem where p is the number of variables and n is the number of data points); (ii) I will present a Bayesian online learning algorithm that, unlike previous approaches, learns a dynamic compact representation of massive data and make predictions accordingly (the n>>p problem); And (iii) I will describe a parallel Bayesian inference method on graphics processing units to extract latent topic and clusters from data with both a large number of variables and samples (both n and p are large).  In addition, I will present applications of these works, for example, in identifying genetic variations and biomarkers for the early diagnosis of Alzheimer’s disease, and modeling rare cell populations in flow cytometry data for the discovery of cancer stem cells.


I obtained PhD from MIT in 2005 and worked as a postdoctoral researcher at MIT from 2005 to 2007. In 2007, I joined Purdue university as an Assistant Professor of Computer Science and Statistics. I received the A. Richard Newton Breakthrough Research Award from Microsoft Research in 2008, the Interdisciplinary Award from Purdue University in 2010, and the NSF CAREER award in 2011.

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Additional Information

In Campus Calendar

Computational Science and Engineering, College of Computing, School of Computational Science and Engineering

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cse seminar
  • Created By: Lometa Mitchell
  • Workflow Status: Published
  • Created On: Feb 25, 2011 - 11:38am
  • Last Updated: Oct 7, 2016 - 9:54pm