Research Overview

My research is focused on how we can best utilize high-throughput data sources to understand biology at multiple levels. This problem has become increasingly challenging over the past decade as new experimental techniques and resources (e.g. gene expression microarrays, deep sequencing, tandem mass spectrometry, etc.) have grown widely available and more affordable. While these data promise to shed light on cellular mechanisms, gene regulation, protein functions, and ultimately human disease, the rate at which these data are translated into knowledge is currently much slower than the rate of data generation. In order to help bridge this gap, our focus is on developing novel algorithms and approaches for the analysis, exploration and visualization of this data. In particular, these methods incorporate biologists into the early phases of analysis in order to utilize their existing, expert knowledge.


My research spans the intersection between Computer Science and Genetics. The development of high-throughput biological methods (e.g. DNA sequencing, mass spectrometry, etc) has required the parallel development of new analysis and visualization approaches to translate these raw data into useful knowledge. To this end, my work focuses on the development and application of new algorithms, visualization techniques, and software tools to address import biological problems, with a specific focus on diseases of aging, such as cancer and osteoporosis.


    Compuational Areas of Interest:

  • Machine Learning & Data Mining
  • Large-scale Data Visualization
  • Sequence/String Analysis Methods
  • Graph analysis algorithms

    Biological Areas of Interest:

  • Gene Expression Profiling & Analysis
  • Cell-type Specific Gene Function Prediction
  • High-throughput Sequencing Analysis
  • Diseases of Aging, including cancer and osteoporosis

See a list of my publications at my Google Scholar Profile.

I am always looking for motivated students who are interested in working on research projects in computational biology and bioinformatics. If you are interested in working on a research project with me, please contact me.