Research track faculty in the HIVE group and lead for the High-performance Integrated Virtual Environment (HIVE) bioinformatics platform at The George Washington University, the BioCompute project, and several others, including AI/ML pilot projects.Co-PI, Co-I, or lead for several projects with small, interdisciplinary teams. Primary responsibilities are leading research and development teams and writing proposals and publications, but additional responsibilities in teaching, mentorship, and departmental service.Experience building collaborative, multi-disciplinary teams, proposal writing, and championing projects through publications and talks. Areas of technical subject matter include data analysis, bioinformatics workflows, open source standards, data curation, and developmental neuro-genomics (especially copy number variation (CNV)). More recently, I have also contributed to infectious disease projects, including influenza and HIV. Details about two of the flagship projects are below.-------------------------------------------------------------------------------------------------------------------BioComputeBioCompute is a descriptive standard (officially IEEE-2791-2020) for recording computational workflows, and is the only framework to have ever by adopted by the FDA's Data Standards Catalog. It is accepted for four types of drug applications at three Centers, and has been used in formal submissions to the FDA for regulatory clearance. As the Secretary of the P2791 Working Group, I was a driving force in assembling and operating the group, and was a key figure in bringing the project to the attention of the FDA's Data Standards Board for Guidance publication. I have trained both pharma and FDA personnel in its use. I also initiated a public private partnership between CBER at the FDA and our University.https://www.biocomputeobject.org/HIVEThe High-performance Integrated Virtual Environment (HIVE) is a powerful bioinformatics platform originally developed at the FDA that is particularly strong with noisy, real world data. Our institution maintains several instances of the platform for use in several projects with highly sensitive data. As the lead for the project, I deploy new instances of the platform, write and test new workflows, carry out database administration and general server maintenance, and have general oversight of the platform and several of the projects that make use of it. Many of these projects involve work in the private sector and do not result in publications.https://hive.biochemistry.gwu.edu/dna.cgi?cmd=main