1999-present: Ph.D.
in Information and Computer Science with concentration in Artificial Intelligence,
Department of Information and Computer Science (ICS), University of California,
Irvine (in progress, expected graduation date December 2003). Current GPA 4.0
1995-1997: Ph.D.
in Applied Mathematics, incomplete, Department of Computational Math and
Cybernetics, Moscow State University, Russia. Passed Ph.D. area exams, advanced
to Ph.D. candidacy.
Topic of research: Ordinary Differential
Equations with Degenerate Coefficient by High Order Derivative.
1990-1995: M.
S. in Applied Mathematics, Department of Computational Math and
Cybernetics, Moscow State University, Russia (Diploma with excellence; GPA 5.0
(out of 5.0))
1999-present: Research assistant, advisor Professor
Padhraic Smyth, ICS, UC Irvine,
general areas of Artificial Intelligence / Data Mining / Bioinformatics. I am
working on
· Analysis of unsupervised
pattern detection in categorical sequences using Bayes error rate framework.
Obtained theoretical results have been applied to the analysis of the motif discovery
problem in computational biology.
· Collaboration with Professor
Eric Mjolsnees. Development of probabilistic modeling framework for reconstruction of
gene regulatory networks, including structural network topology and dynamics. A
combination of Gibbs sampling and Markov Chain Monte Carlo approaches allows
exploring the space of network structures (within a certain class) and
continuous parameter values determining the dynamics of the system.
Other
work involves pattern finding in Web log data, pattern detection in continues
time series data, and adaptation of support vector machine learning algorithms
to large data sets.
1999 - 2000: Senior software engineer, Thomas Bros. Maps, working on design and
development of the core components of a consumer mapping system. Implemented a
variety of algorithms in computational geometry.
1997 - 1999: Statistical programmer, Risk Data / HNC Software, working on
development of original tools for statistical data analysis of worker
compensation claims and payments and algorithms for training neural networks
with right-censored data; performance enhancements of data-intensive
statistical procedures.
1996 - 1997: Research staff member, Institute for Precise Mechanics and Computer
Engineering, Moscow, Russia, working on an application of neural networks
to futures markets forecasting.
1995 - 1997: Research staff member, Institute for Nuclear Physics, Moscow State University, Russia,
working on detection and classification of organic pollution of water and
analysis of neural network training algorithms.
1994 - 1997: Software engineer, Geosoft Eastlink, Moscow, Russia.
Designed and developed a GIS component responsible for visualization of
2-dimensional data sets in geology.
TEACHING
EXPERIENCE
Fall 2001, Spring 2002: Teaching assistant: "Project in
Artificial Intelligence".
1996-1997 Instructor
of advanced math classes for special mathematical high school, Moscow, Russia
PUBLICATIONS
1. D.Chudova, P.Smyth, Analysis
of pattern discovery in sequences using Bayes error rate framework. Invited paper, submitted to the special
issue of the Data Mining and Knowledge Discovery Journal
2. D.Chudova, P.Smyth,
Pattern discovery in sequences under a Markov assumption. Proceedings of Eighth ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining, Edmonton, 2002. Best research paper
award.
3. D.Chudova, P.Smyth,
Unsupervised identification of sequential patterns under a Markov assumption, KDD 2001 workshop on temporal data mining.
4.
D.
Pavlov, D. Chudova, P. Smyth. Towards Scalable Support Vector Machines
Using Squashing. Proceedings of Sixth ACM
SIGKDD International Conference on Knowledge Discovery and Data Mining,
Boston, 2000, pages 295-299.
5.
D.
B. Speights, J. B. Brodsky, D. I. Chudova. Using Neural Networks to
Predict Claim Duration in the Presence of Right Censoring and Covariates. Casualty actuarial symposium forum,
Winter 1999, pp. 255-278
6.
N. Kh. Rozov, V. G. Sushko, D. I. Chudova.
Differential equations with degenerate
coefficient by order derivative, Fundamentalnaya
I prikladnaya matematika (Fundamental and applied mathematics), 1998, v.
4, # 3, pp. 1063-1095 (In Russian)
7.
D.
Chudova, S. Dolenko, Yu. Orlov, D. Pavlov, I. Persiantsev. Benchmarking
of Different Modifications of the Cascade Correlation Algorithm. Proceedings of 3rd International Conference
on Adaptive Computing in Design and Manufacture, 1998, pages 339-344.
8.
Yu.
Orlov, I. Persiantsev, D. Chudova, D. Pavlov, S. Babichenko. Development
of a Statistics Based System for Fluorescent Diagnostics of Organic Pollution
in Water. Proceedings of 3rd EARSeL
Workshop on Lidar Remote Sensing of Land and Sea, 1997, pages157-162.
2002 Best
research paper award, ACM SIGKDD 2002
2002-Present NIH fellowship; trainee in bioinformatics
1994-1996: Moscow State University
Scientific Council scholarship award, Lomonosov's fellowship, Soros student
grants for excellent studies and research.
Citizenship US
Permanent Resident
Date of birth February
07, 1974
Marital status Married,
1 child
REFERENCES (tentative)
Professor Padhraic Smyth, 444 Information and
Computer Science, University of California, Irvine, CA, 92697;
smyth@ics.uci.edu, (949) 824-2558
Professor Eric Mjolsness, 444 Information and
Computer Science, University of California, Irvine, CA, 92697; emj@ics.uci.edu
Professor Dennis Kibler, 444 Information and
Computer Science, University of California, Irvine, CA, 92697;
kibler@ics.uci.edu, (949) 824-5951
Professor Pierre Baldi, 444 Information and
Computer Science, University of California, Irvine, CA, 92697;
pfbaldi@ics.uci.edu