Jennifer Lu
Research Assistant LUNAR Lab at Brown University
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolMeng Lu is a research-focused computer scientist and second-year Sc.M student at Brown University with nine years of hands-on experience across robotics, AR/VR, and NLP. Currently a Research Assistant at Brown’s LUNAR Lab and HealthNLP, Meng co-authored EMNLP-accepted work on multilingual fact-recall and mechanistic interpretability for IR models while pursuing controllable LLM behavior. Prior roles at MIT Media Lab and MIT labs span computer vision pipelines for parent-child interaction analysis, mechatronics, and photogrammetric VR modeling, reflecting a rare blend of perception, embodied systems, and HCI. Meng has driven applied projects from database-backed web tools to ENerf-backed 2D→3D teleoperation pipelines and mixed-reality robot control, demonstrating an eye for practical system integration. Based in Wellesley, MA with dual training in computer science and history, Meng brings interdisciplinary research instincts and experience communicating technical work at conferences and cultural heritage venues. A detail that often surprises collaborators: alongside advanced technical work Meng has translated over 100 academic history papers, showing both linguistic breadth and archival rigor.
9 years of coding experience
3 years of employment as a software developer
Cross-Registered Students, Cross-Registered Students at Massachusetts Institute of TechnologyUndergraduate Student B.A. in Computer Science, Undergraduate Student B.A. in Computer Science at Wellesley CollegePrecollege Classical Piano, Precollege Classical Piano at Manhattan School of Music
Stackoverflow
117reputation
4kreached
0answers
7questions
Github Skills (64)
transformers10
pytorch10
audio10
lstm10
fact-checking10
deep-learning10
tensorflow10
natural-language-processing10
transformer10
gpt10
editing10
claims10
llm9
python9
machine-learning9
Programming languages (6)
Github contributions (5)
pwaic/pwaic.github.io
Sep 2018 - May 2020
Contributions:125 pushes in 1 year 8 months
utaresearch/claimbuster-spotter
May 2019 - Aug 2021
Adversarial Training on Transformer Networks to discover check-worthy factual claims
Contributions:2333 commits, 146 pushes, 7 branches in 2 years 2 months
pytorchdiscoverdeep-learninglstmadversarial
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