Technology Delivery collaborates with researchers—including faculty, staff, and students—to advance institutional research capabilities through strategic use of technology. Our team provides specialized expertise, from solutions architecture and technology consulting to the delivery of secure, reliable, and tailored technological solutions. This commitment ensures alignment with researcher needs, institutional priorities, and sponsor requirements, empowering research excellence and innovation at our University.
Meet Our Team
Director of Technology Delivery
Passionate about transforming complex technology challenges into scalable solutions that advance academic and research missions, Stephen's role involves strategically leading the development and management of critical research infrastructure, including High-Performance Computing (HPC) and research data storage. Stephen also provides specialized expertise in solutions architecture and technology consulting, collaborating closely with faculty, staff, students, and researchers to ensure Tulane's technology services proactively meet and anticipate the evolving needs of our academic disciplines.
Computational Scientist
Dr. Carl Baribault holds a PhD in Engineering and Applied Science from University of New Orleans, and master’s degrees in mathematics (UT-Austin) and physics (UNC-Chapel Hill). His computer science background includes bioinformatics, structural eukaryotic gene prediction, and genomic and epigenomic data analysis. Dr. Baribault served as post-doctoral fellow on the genomics analysis core team at Tulane Cancer Center supporting multiple principal investigators in experimental design and various computational needs. He also has broad experience in software development for engineering and business applications.
Computational Scientist
Dr. Fujioka earned his Ph.D. in Biomedical Engineering from Keio University, Japan, in 1997 after completing his Bachelor’s in Mechanical Engineering (1993) and Master's in Biomedical Engineering (1995). His research specializes in developing computational tools/models to analyze natural systems such as flows and transport phenomena in physiological and biological systems.
At Tulane University, Dr. Fujioka teaches courses including C++ Programming for Science & Engineering and Large Scale Computation. His expertise spans high-performance computational approaches to study the computational fluid/transport/tissue mechanics of air/liquid in lungs, blood in vascular systems, and gas/blood in artificial organs.
For a comprehensive list of his publications, visit his Google Scholar.
Business Relationship Manager
Adam Maese is a certified Business Relationship Management Professional (BRMP) at Tulane University IT, specializing in aligning technology solutions with strategic business objectives. Adam actively fosters collaboration between IT and university stakeholders, driving technology initiatives that enhance institutional effectiveness and innovation.
Services & Resources
Research Data Storage, Data Transfer, and Collaboration
Grant Information and Assistance
Outreach, Engagement, and Training
