Extensive experience in 3D medical visualization and 3D printing in medicine. Extensive experience in the computational sciences, specifically with the intersection of biomedical imaging, cluster-based high performance computing (HPC), grid/cloud technologies and informatics. Collaborates with an interdisciplinary group of clinical and academic staff to produce original computational research in medicine. Architects solutions to satisfy unique information technology needs by absorbing, designing, synthesizing, and/or implementing the latest software and hardware technologies. Presents original research via public talks, poster presentations or domain specific tutorials at scientific conferences and general audience events. Publishes original research in peer-reviewed journals. Specialties: - Rapid-prototyping expertise in fabricating anatomical regions of interest using 3D printing and advanced medical visualization tools. - 12+ years object-oriented programming experience. - Google Glass Explorer developing software applications for surgical practice and education. - Expertise in C, C++ and Python. - Working familiarity with CUDA and MPICH2 parallel-programming platforms. - 3 years experience in grid/cloud computation paradigms. - Basic system administration of Linux and Mac OS X operating systems.

Founder @ Architecting novel rapid prototyping solutions for medicine utilizing custom software solutions and multi-media 3D printing. Developing medical imaging tools using Google Glass. From November 2014 to Present (1 year 2 months) Greater Chicago AreaResearch Scientist @ Principal researcher at CBRI's 3D Anatomical Printing and Visualization Lab. Responsible for the rapid prototyping of 3D anatomical regions of interest for surgical innovation. Models are fabricated from patient CT/MRI data and utilized for surgical planning, education, simulation and intra-operative use. Research focuses on creating novel software tools, segmentation algorithms, and scalable rapid prototyping workflows to synchronize 3D anatomical printing with clinical demand. Principal software architect of a stereoscopic, medical imaging research software project that consists of radiological and virtual surgical tools and is used as the front-end for collaborative, web-based manipulation of a distributed, parallel-processing, 3D biomedical volume renderer . The project runs on Linux, is 100% open source and was developed in collaboration with Argonne National Laboratory's Futures Laboratory. Co-wrote and implemented an IRB research protocol introducing cutting edge 3D stereoscopic visualization and display technologies for intra-operative plastic surgery. This visualization research has also been utilized for craniofacial pediatric surgery at NorthShore. Develop and implement original data discovery algorithms for biomedical image analysis. Advanced hardware expertise in computational management and operation, of a dual-Nvidia Tesla CUDA/graphics visualization server that runs the aforementioned biomedical visualization software. Responsibilities include prototyping, budgeting, assembly, testing, upgrading, and operational troubleshooting/repair of the server, which is built using commoditized components. From May 2011 to Present (4 years 8 months) Research Systems Analyst @ From December 2004 to April 2011 (6 years 5 months) Software Developer - Associate @ From September 2002 to December 2004 (2 years 4 months) Scientific Content Exhibit Consultant @ From May 1997 to December 1997 (8 months)

M.S., Computer Science @ The University of Chicago From 2000 to 2002 M.S., Cosmochemistry @ University of Chicago From 1996 to 1999 B.S., Aerospace Engineering @ Boston University From 1985 to 1989 Nigel Parsad is skilled in: C, Hardware, Python, C++, Linux, Mac OS X, OOP, Distributed Systems, High Performance Computing, Software Development, Algorithms, JavaScript, Agile Methodologies, Parallel Computing, 3D visualization