"Life is pretty simple: You do some stuff. Most fails. Some works. You do more of what works. If it works big, others quickly copy it. Then you do something else. The trick is the doing something else." - Leonardo da Vinci
I am a doctoral candidate in the Department of Computer Science at the University of Maryland. My advisor is Prof. Lise Getoor. I am interested in Machine Learning, Data Mining and Bioinformatics, with a focus in mining high-throughput data using machine learning methods. Specific tasks that I have worked on include link prediction and classification, entity classification and resolution using relational data, and domain specific feature construction. I have also worked on and have an interest in information visualization and its applications to data mining and bioinformatics.
I am also the Head of Informatics at Vanda Pharmaceuticals where I oversee and am involved in efforts surrounding both drug discovery and personalized medicine. Experience with complete process of multiple whole genome association studies, from statistical analysis plan development to the analysis of biomarkers for predicting the optimal benefit-to-risk ratio of patients.
I truly believe that one day soon we will be able to more accurately diagnose and treat diseases through the use of genetic and genomic technologies. And it is these patients that motivate my work.