Jacob Moore

Jake Moore is a computer scientist specializing in the application of artificial intelligence to Buddhist Studies. At Khyentse Vision Project, he drives AI integration and tool development, translation quality evaluation, workflow automation, and metadata architecture.

Jake earned a BA in philosophy from Bowling Green State University (2015), an MA in philosophy from Wayne State University (2017), and an MS in data science from the University of Colorado Boulder (2024). Currently a PhD student in computer science at Lawrence Technological University, his research focuses on multimodal foundation models for Tibetan translation, transcription, and conversational AI. He is also the creator of several open-source tools: MLotsawa (a family of Tibetan-English neural machine translation models), Bocluster (a low-code text clustering tool), and Tibetan-WER (a Python library for measuring word and syllable error rates in Tibetan speech recognition).

In his role as Applied Scientist, Jake applies natural language processing and machine learning directly to KVP’s translation mission. He evaluates AI performance on Tibetan texts, establishes reliable benchmarks, and identifies where automation can assist our teams—turning research into practical, everyday tools.