Assistant Professor at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)
Cambridge, Massachusetts, United States
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Summary
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David Melis is an Assistant Professor and machine learning researcher with 11 years of experience specializing in structured-data ML, interpretability, and optimal transport for NLP, speech, and image tasks. He completed a PhD at MIT/CSAIL and has held research roles at Microsoft and IBM, bringing both academic rigor and industry-focused problem solving to production-adjacent research. His work blends theoretical tools—especially optimal transport—with practical models for trees, sequences, and graphs to improve transparency and performance in language and speech systems. Based in Cambridge, he combines strong mathematical training (MS from NYU, BSc from ITAM) with a track record of cross-disciplinary collaboration and mentoring, and a knack for translating abstract distances into tangible improvements in real-world ML applications.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Massachusetts Institute of Technology
Master of Science (MS), Mathematics, GPA 3.975, Master of Science (MS), Mathematics, GPA 3.975 at New York University
Bachelor of Science (BSc), Applied Mathematics, Grade 9.74/10, Bachelor of Science (BSc), Applied Mathematics, Grade 9.74/10 at Instituto Tecnológico Autónomo de México
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