About

For my Computer Science master's thesis work, I worked under Dr.Raj Bhatnagar in the UC Machine Learning lab. My research concentrated on scalable methods and algorithms for machine learning tasks within the currently burgeoning field of computational biology. Broadly speaking, We worked on pattern recognition (classification and clustering) in large-dimensional and structured datasets, such as those related to the copious amounts of gene expression data being churned out all over the world (in a remarkable effort to ultimately answer the most fundamental questions about life and ourselves.)

Writings

The following are somewhat readable published documents describing parts of this work.

1. Mining high dimensional data for classifier knowledge Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, Aug 2003

2. Mining microarray expression data for classifier gene-cores ( Abstract | Paper ) presented at BioKDD 2001, Workshop on Data Mining in BioInformatics held on Aug 26th, 2001 in San Fransisco CA, in conjunction with the 7th ACM SIGKDD conference.

3. A Heuristic Search for Discovering Classifier Gene-Sets ( Abstract | Paper) presented at the Critical Assessment of Microarray Data Analysis CAMDA 2000,  Duke University.

Thesis

The abstract and full text of my thesis, "Pattern Recognition in Large Dimensional and Structured Datasets", is available in electronic form (abstract in HTML, full text as PDF file) at the OhioLink ETD (Electronic Thesis and Dissertation) website.

Stuff

Links to various resources in AI, machine learning, pattern recognition, linear algebra, computational biology, molecular biology, and bioinformatics, etc. are available in my bookmarks page.