Mahdi Sadjadi is a Principal Data Scientist and lead with 11 years of experience applying statistical physics, causal inference, and machine learning to advertising measurement, identity, and audience prediction problems. Based in Los Angeles, he bridges rigorous research (PhD in Statistical and Computational Physics) with product delivery, having led attribution and cross-screen measurement efforts that moved research from POC to production. His toolset spans Python, Spark, GCP/AWS, graph neural nets, embeddings, and generative AI, and he has a track record of performance improvements (e.g., 12x product speedup and more stable estimates). Mahdi also teaches and contributes to open education—training PhD students in computing skills and contributing to Carpentries lessons—bringing a rare blend of academic depth, production engineering, and communication skill to data-driven product teams.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD) Statistical and Computational Physics, Doctor of Philosophy (PhD) Statistical and Computational Physics at Arizona State University
Bachelors of Science (BS) Physics, Bachelors of Science (BS) Physics at University of Tehran
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