Subhasis Ray

Designed and developed a scientific software toolkit for analyzing animal behavioral recordings using Python/PyQT/PyTorch. Developed biophysically realistic neuronal network models from experimental data. Developed scripts for simulation and analysis on NIH Biowulf supercomputer. Maintained bitbucket/github repositories for the code. Carried out electrophysiology experiments in vivo, histology, microscopy, and neuronal morphology tracing; visualized and analyzed data using Python scipy stack. Presented results in scientific seminars, wrote and published articles in peer-reviewed scientific journals. Mentored and trained summer students and taught Introductory Data Science using Python to scientists at NCI and NIH.

Developed an open data format for storing and sharing large datasets from neuronal simulations (in collaboration with Wojcik group in Nenki Institute, Warsaw, Poland). Coordinated with collaborators to write and publish results in a peer-reviewed journal.

Co-developed the MOOSE neural simulator, maintained SVN and git repositories. Simulated and analyzed a biophysically realistic cortical network model. Presented results in scientific conferences; wrote and published scientific articles. Mentored Google Summer of Code students.

Designed and developed business software using JAVA, DB2, XML, Websphere MQ. Coordinated with off-site team to maintain existing business software back-end. Gave training courses to fellow software engineers, and mentored summer interns.