Summary
Morris Alper is a postdoctoral researcher at Carnegie Mellon University with nine years of experience at the intersection of machine learning, NLP, and applied research. He holds a PhD in Machine Learning from Tel Aviv University and has built production-ready NLP systems for multilingual applications, from entity extraction and summarization to linguistic enrichment across English, French, Hebrew, Arabic, and Japanese. Morris has prototyped speech and vision algorithms early in his career and recently worked on 3D generative models during a research internship at Meta, demonstrating breadth across modalities. He also led data science education at Israel Tech Challenge, blending hands-on engineering with pedagogy. Known for combining rigorous academic methods with practical system engineering, he often bridges research prototypes to REST-backed services and CI-driven deployments.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Machine Learning, Doctor of Philosophy - PhD Machine Learning at Tel Aviv University
BS Linguistics and Mathematics (double major), BS Linguistics and Mathematics (double major) at Massachusetts Institute of Technology
English, Hebrew