Melissa Roemmele

Research Scientist, Evaluations

San Francisco, California, United States
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job14 years of employment as a software developer
bookDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Southern California
bookMA, Computational Linguistics, MA, Computational Linguistics at Indiana University Bloomington
bookBA, Linguistics, Psychology, BA, Linguistics, Psychology at Miami University
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Github Skills (23)

artificial-intelligence10
rnn-model10
paragraph10
pytorch9
python9
keras9
sequence-to-sequence9
natural-language-processing8
ai8
text-generation7
data-processing7
roberta6
nlp6
bert6
neural-network5

Programming languages (3)

RoffJupyter NotebookPython

Github contributions (5)

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Contributions:14 commits, 9 pushes in 29 days
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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