Zilu Tang is an NLP researcher and PhD student at Boston University with nine years of interdisciplinary experience spanning bioengineering and applied AI research. She has driven practical advances in mechanistic interpretability, personalized alignment, and low-resource translation through internships at Apple AIML, MIT-IBM Watson AI Lab, and IBM Research, with work accepted to venues including EMNLP, NAACL, and AACL-IJCNLP. Her projects range from mitigating LLM translation hallucinations and inventing explain-then-translate prompting for program translation to building large parallel corpora for code, demonstrating strength at the intersection of explainability and robust model generalization. Zilu’s background in bioengineering and brain–machine interfaces informs a human-centered approach to augmenting capability, and she often explores whether model explanations faithfully reflect internal mechanisms. Based in Cambridge, MA, she is actively seeking NLP internships focused on interpretability, alignment, efficient/low-resource methods, and reasoning for Summer 2026 and beyond.
9 years of coding experience
6 years of employment as a software developer
High School, General education, 3.97, High School, General education, 3.97 at Evansville day school
General education, General education at Redding Christian high school
Bachelor’s Degree, Bioengineering and Biomedical Engineering, 3.74, Bachelor’s Degree, Bioengineering and Biomedical Engineering, 3.74 at Rice University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Boston University
Contrastive sentence embedding with diverse augmentation
Contributions:13 commits, 1 PR, 9 pushes in 2 months
nlpsentencediversecontrastivesentence-embedding
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