Summary
Koyena Pal is a data scientist and 4th-year Ph.D. candidate at Northeastern University researching interpretability and data-management perspectives on large language models under advisors David Bau and Renée J. Miller. With eight years of experience spanning academic research, industry internships, and teaching roles, she builds visualization tools, automatic benchmark pipelines for relational table tasks, and conceptualizes "Model Lakes" to improve model use and management. She balances rigorous research with practical impact—applying LLM insights to healthcare, education, and security—and currently contributes to production analytics at Fidelity Investments. A seasoned educator, she has designed deep learning curricula and mentored large TA cohorts, and her background includes biomedical NLP and security-focused summarization systems. Koyena’s cross-disciplinary approach and early work on model-centric infrastructure hint at a career bridging research, tooling, and real-world deployment.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Brown University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Northeastern University
International Baccalaureate (IB), International Baccalaureate (IB) at Global Indian International School, Singapore
English, French, Hindi, Bengali