Research focus: Computational Neuroscience/Biology, Computer Science, & Data Science.Working on Arkouda project and developing new network centrality measures.Helping to create documentation and guides to open-source projects, such as Arkouda, as well as creating interactive notebooks demonstrating the advantages of massively paralleled programs (such as Arkouda) as compared to other open-source network analysis tools (such as NetworkX).Working on a collaborative project with Harvard to conduct netowrk analysis and Motif Finding on a petabyte-scale data set containing every neuron of a fruit fly connectome fully sequenced. To achieve this, new algorithms using Breadth First Search (BFS) and parallel programming techniques are leveraged to enhance computational efficiency and ultimately develop new subgraph isomorphism algorithms implemented in Chapel.Conducted literature reviews, implemented and ran existing algorithms, and conducted extensive analyses on speedup and execution comparison.

Conducting research in perturbation theory and its application to complex network analysis as well as applications of network analysis to cancer genomics.

Teaching Assistant for IT420 -- Advanced Computer Networks -- at NJIT performing roles such as holding weekly office hours, preparing for and delivering 3-hour lectures, creating and holding laboratory activities, and grading assignments for 30 students.

Studying Biology with a focus on Computational Biology and Computational Neuroscience