Koyena Pal

Data Scientist

Boston, Massachusetts, United States
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Summary

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Senior
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Top School
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.
code8 years of coding experience
job3 years of employment as a software developer
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at Brown University
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Northeastern University
bookInternational Baccalaureate (IB), International Baccalaureate (IB) at Global Indian International School, Singapore
languagesEnglish, French, Hindi, Bengali
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Programming languages (2)

JavaScriptJupyter Notebook

Github contributions (5)

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catngocd/PhishingDetection

Dec 2019 - Dec 2019

Contributions:8 commits, 8 pushes in 10 days
Contributions:61 pushes, 1 branch in 4 years 3 months
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