General Research Interests:
I have broad research interests in statistics and data analysis, with applications in forensics and bioinformatics.
Current Research:
- Data Imputation With Low-Coverage Whole Genome Sequencing With Dr. Marcel Brun
Past Research:
- Comparative Analysis of Complex Feature Selection Methods for Data with Large Feature Sets & Highly Correlated Features With Dr. Scott Schmidler: Developed simulated data sets with desirable characteristics for testing of various algorithms. Independently adapted and utilized existing feature selection techniques for comparative purposes. Worked on development of innovative method in the Bayesian framework for this problem.
- Predictive Modeling of PMI (Post-Mortem Interval) With Dr. Alan Dabney: Utilizing a data set consisting of bacterial count data from swabs obtained from the Detroit medical examiner's office, I crafted a predictive model for determining time of death or post-mortem interval. I independently developed complex models using a variety of algorithms; similar models are applicable to fields such as finance or biological sciences
- Clustering Algorithm Research With Dr. Valen Johnson, Dr. Anirban Bhattacharya, Dr. Alan Dabney, & Dr. Irina Gaynanova: Developing simulated data sets to evaluate algorithm performance. The goal was to identify potential key cell pathways relating to cancer.
- Educational Psychology Research with Dr. Dalun Zhang: Conducted literature searches on various topics in Special Education and helped develop new methods for evaluation and analysis of topics.