Melissa Roemmele is a research scientist specializing in evaluating and optimizing generative AI for creative applications, currently on the Evaluations team at Luma AI. With a PhD in Computer Science from USC and a decade of experience across NLP and creative AI, she builds frameworks and human-in-the-loop methodologies that quantify how language and text-to-image models support storytelling. Her work combines prototyping novel LLM and multimodal pipelines with rigorous automated evaluation—skills honed at Midjourney’s Storytelling Lab and Language Weaver (RWS) on summarization and MT quality estimation. She has a track record of turning research prototypes into tools that directly augment creative workflows, and she brings a rare blend of applied engineering, rigorous evaluation design, and narrative-focused research to production problems.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Southern California
MA, Computational Linguistics, MA, Computational Linguistics at Indiana University Bloomington
BA, Linguistics, Psychology, BA, Linguistics, Psychology at Miami University
Neural network models that predict "what happens next" in stories
Contributions:71 commits, 69 pushes, 3 branches in 4 years 6 months
neural-network
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