Institution/Organization: University of Kentucky.
Department: Biomedical Informatics.
Professional Title: Faculty
What conference theme areas are you interested in:
Computational science and machine learning;
High performance software: packages and design;
Data science, analytics, and visualization;
Biological and biomedical computations.
I am a computational scientist that works at the intersection of high-performance computing (HPC) and computational biology and bioinformatics. My main area of interest is in computational drug discovery and insights from polypharmacoloigcal networks. I am experienced in developing methods and workflows for next-generation sequence analysis, genome-wide association studies, and classification methods with applications in personalized medicine. I assist with big data problems and solve storage and analysis issues that result from using large repositories of data. I am experienced in parallelizing algorithms to increase their computational efficiency and automating tasks to save computer and human time. As a member of the Cancer Research Informatics team at the Markey Cancer Center I leverage the high performance computing capabilities of the University of Kentucky at the Center for Computational Sciences in order to facilitate research that would not otherwise be possible. Recently I have been combining simulations, big data, and machine learning to increase the accuracy of drug binding predictions. I also actively participate in the mentoring and outreach to underrepresented groups, including but not limited to women, in computational sciences and high-performance computing.
Non-Work Related Activities/Interests:
yoga, biking, hiking