Research
David Braun is an artificial intelligence researcher and systems engineer pursuing a Master of Science in Artificial Intelligence at the University of St. Thomas. His current work includes hybrid information retrieval for Urarina–Spanish archival material.
Interdisciplinary work grounded in careful data processing, evaluation, and technically accurate system boundaries.
Current AI research
Current language research examines hybrid information-retrieval methods for Urarina–Spanish archival material, with work spanning information retrieval, natural language processing, multimodal AI, retrieval-augmented generation, and computational linguistics. The system supports retrieval and alignment research; it is not presented as full machine translation.
Earlier scientific research
Earlier work involved processing satellite and ground-based magnetometer observations for studies of electromagnetic ion cyclotron wave events and space weather. That analysis contributed to conference research and a peer-reviewed paper in the Journal of Geophysical Research: Space Physics.
Current and interdisciplinary areas represented across graduate AI and earlier space-physics work.
Accepted research is listed separately from work that already has a formal publication record.
David Braun and Michael Dorin
IEEE LA-CCI 2026 · Accepted Conference Paper
Published journal research with a verified DOI.
David Braun · Co-author
Journal of Geophysical Research: Space Physics
WOS:000445731300021
Meeting abstracts are kept distinct from peer-reviewed journal publications.
Mark J. Engebretson, Jennifer L. Posch, David Braun, et al.
2017 AGU Fall Meeting · SM51B-1176
December 15, 2017
Mark J. Engebretson, Jennifer L. Posch, David Braun, et al.
2017 AGU Fall Meeting · SM31B-2629
December 13, 2017
Memberships and professional activities, shown as secondary context for the research record.