Postdoctoral Fellow at PCBI, UPenn working with Lyle Ungar and Junhyong Kim
PhD in Machine Learning, August 2007, MLD, CMU, Advisor: Andrew Moore
| Contact Info: | 433 S University Ave, 103I,
UPenn, Philadelphia, PA 19104 E-mail: anya at cmu.edu |
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Postdoctoral Fellow at PCBI, UPenn working with Lyle Ungar and Junhyong Kim PhD in Machine Learning, August 2007, MLD, CMU, Advisor: Andrew Moore
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Brief Bio:
Born in Voronezh, Russia. Graduated from school specializing in mathematics; have a diploma from music school majoring in piano and played table tennis for 8 years as a part of a youth sport school team. Immigrated to the U.S. in 1995.
B.S. in Engineering Mathematics and Computer Science, University of Louisville, May 2000.
M.S. in Knowledge Discovery and Data Mining, Carnegie Mellon, CALD, August 2001
Pre-doc at Bell Labs in Statistics and Data Mining Department Nov 2001 - Aug 2002Research Interests:
Machine Learning and its applications to real-world problems.
Developing efficient algorithms for analyzing and learning in very large environments by combining various statistical and machine learning methodsCurrent Research:
Thesis proposal on November 24, 2004:
- scalable structural learning of graphical models
- stochastic social network modeling
- analyzing social nets using probabilistic graphical models
- incorporating auxilary information about the entities/interactions to enrich the models
- stochastic modeling of social network evolution
- online Bayes Net learning
- cool applications of large binary Bayes Nets
Proposal for a scalable class of graphical models for social networks (pdf)Past Research:
- Link analysis
- Analyzing over-the-counter medication purchases for early detection of epidemics and bio-terrorism attacks
- Analyzing gaps in Neural Net learning (undergrad)