I am a postdoctoral researcher in the BMI Department at the Stony Brook University School of Medicine and a recipient of the NSF/CRA Computing Innovation Fellowship for research on precise compartment deconvolution and weight estimation of mixed tissue samples. I am currently advised by Richard Moffitt.
I completed my PhD at Stony Brook University under the supervision of Steve Skiena. During my research focused Masters, I worked with Bernard Moret at EPFL. My undergraduate degree in Computer Science is from Carnegie Mellon University.
I am a computational biologist who works at the intersection of computer science, genetics, and statistics. I am interested in the development of new algorithms and computational methods that aid in the advances of precision medicine, with the potential to address existing racial disparities in health data. I am also interested in algorithms for synthetic gene design and analysis methods for small size differential expression studies, with the goals for advancing vaccine design and promoting diverse and inclusive research.