Giselle Zeno is a Technical Staff AI researcher with a PhD in Computer Science from Purdue and a decade of experience bridging government research labs and industry as a senior software engineer. Her work spans ML, data mining, graph and temporal modeling, embeddings, transformers, GNNs and LLMs, with publications and invited talks at major venues. At MIT Lincoln Laboratory she drives R&D in AI systems, building on years of independent research at Purdue where she designed generative temporal models, collective inference studies, and secured grant funding. She combines rigorous experimental design and reproducible engineering—evidenced by production-grade tooling and testing from earlier software roles at Intel and enterprise projects—to move prototypes toward operational impact. Based in Lexington, MA, she also mentors students and maintains a practical bent from years developing web and backend systems, making her equally comfortable in code, papers, and cross-disciplinary collaboration.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Purdue University
Graduate studies Computer Science Concentration in Knowledge Discovery and Data Mining, Graduate studies Computer Science Concentration in Knowledge Discovery and Data Mining at Polytechnic University of Puerto Rico
Bachelor of Science Computer Science, Bachelor of Science Computer Science at University of Puerto Rico-Bayamon
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Giselle Zeno - Technical Staff at MIT Lincoln Laboratory