Dr. Adam Swanson

AVP of Institutional Effectiveness & Research
E-mail: Adam.Swanson@mgccc.edu

Background: Dr. Adam Swanson holds a Bachelor of Science Degree, a Master of Education Degree in Counseling and Personnel Services, a Graduate Certificate in Institutional Research and a Doctoral Degree in Research, Evaluation, Statistics, and Assessment from The University of Southern Mississippi. Dr. Swanson has over a decade of higher education supervisory experience, including supervising a team in newly constructed 37.7 million dollar Gold Certified Leadership in Energy and Environmental Design (LEED) complex. Prior to moving to Mississippi, Dr. Swanson spent time working as an intern and a generalist at a Fortune 100 technology corporation outside of Chicago, IL and St. Paul, MN. He has extensive experience conducting statistical analyses, designing surveys and assessments, directing large-scale employee recruitment and selection processes, coordinating college/university wide events, and developing strategic programs to better serve the at-risk student population.

He coordinated a national study titled, Race and Ethnicity in the Hiring Process: An Experimental Study of Millennial Undergraduate Attitudes Using Career Electronic Portfolios, and the project received a nomination for Dissertation of the Year Award at The University of Southern Mississippi. Additionally, Dr. Swanson was awarded First Place Grand Prize Winner at The University of Southern Mississippi Student Affairs Research Competition for an experimental research project that he implemented as a graduate student. Dr. Swanson was recognized in 2013 by NACURH, the largest student organization world-wide, as the Regional & National Winner – Faculty/Staff Member of the Month. He currently volunteers time by serving as a methodologist for doctoral candidates.

Dr. Jana Rocker

Research Programmer & Analyst
E-mail: Jana.Rocker@mgccc.edu

Background: Dr. Jana Rocker holds a Bachelor of Science Degree, a Master of Science degree in Coastal Sciences with an emphasis on Bioinformatics in Molecular Biology and a Doctoral Degree in Basic Medical Sciences with her research focused on computer analysis of very large mass spectrometry datasets. She has extensive coursework in programming languages, computer science, statistics and bioinformatics. She has over 30 years of experience with computer programming and has written code in Pascal, COBOL, ADA, LISP, Prolog, C, C++, Perl, Visual Basic, Python, PHP, HTML, various scripting languages such as BASH and KSH, SQL, R, and PL-SQL and is comfortable working in Unix/Linux, DOS, and Mac operating systems.

Prior to joining the team at MGCCC, Dr. Rocker worked as a postdoctoral researcher at the Mitchell Cancer Institute in Mobile, AL organizing and analyzing large amounts of mass spectrometry data for a biomarker detection method for which she has obtained a patent. She has published multiple papers in peer-reviewed scientific journals on analysis methods she developed. Dr. Rocker also worked as a Workforce Management Analyst at a regional bank, analyzing call center volumes and statistics in order to optimize employee scheduling. Dr. Rocker currently volunteers her time assisting in the continued development of analysis methods for scientific data for researchers and students using R.

Robert Goldman

Research Programmer & Analyst
E-mail: Robert.Goldman@mgccc.edu

Background: Robert Goldman holds a Bachelor of Science Degree in Mechanical Engineering from Mississippi State University and has spent over 30 years of his career coding for a nuclear power plant on real-time simulators and system models. Mr. Goldman has written code in FORTRAN, C, C++, and Visual Basic. He is a member of the American Nuclear Society 3.5 Standard Working Group that is tasked with updating the Standard that governs the U.S. Nuclear Power Plant Simulators. He worked numerous projects including automating data collection and comparison of plant data to the plant specific real-time simulator, upgrading thermal hydraulics, fluid and logic models, converting models from a UNIX platform to PC based platform.