Background of Thomas P. Oberst

about

Computer Scientist, Researcher, and Information Technology Professional

Thomas P. Oberst is a Computer Scientist and Information Technology Professional with extensive experience working for computer and biotech startups and major financial services firms. He has expertise in cloud and server architecture, system design, development, systems engineering, and deployment of secure, highly scalable, globally deployable cloud infrastructure. His career has been spent researching and delivering systems supporting missions, reinforcing strategy, and providing sustainable competitive business advantage. He has proven abilities with emerging cloud and device technology, computer architecture, servers, networking, storage, database, and internet security. Skills include those of Researcher, Computer Scientist, Enterprise Architecture and Chief Technology Officer.

about

Interests and activities

Actively researching and evaluating information technology platforms and helping to architect the next generation global computational ecosystems. Continuously working to ensure that technology choices align with goals across projects, functions, and programs. Leveraging the latest computer science advances, data science, simulation, and modeling in researching multi-modal image protocols. Researching, investigating, and evaluating emerging computational, internet, bioscience, and biomedical technology. Researching best deployment practices focusing on data architecture, data integrity, scalability, and research reproducibility in brain science. Compiling characteristics and requirements, and specifications for future data platforms in order to drive discovery across all brain diseases and across all forms of unstructured data. Evaluating existing and emerging computational platforms and data architectures from academic, research, and commercial sources. Researching best practices for data standards and data stewardship in genomic, image, pre-clinical and clinical, sensor, and social media data. Continuously seeking out the best bioscience research protocols and identifying gaps in clinical standards. Identifying software applications and software tools, processes and pipelines (image), and workflows from academic, commercial, and open science sources. Providing ongoing technical support across all systems/processes and research discovery projects. Consulting on all aspects of cybersecurity and compliance.

Education

Harvard Business School - MBA
Rensselaer Polytechnic Institute - Ph.D. (ABD) Computer Science
Rensselaer Polytechnic Institute - M.S. Computer Science
Union College - B.S. Electrical Engineering
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