Ali Javed
Scientist at Stanford University School of Medicine
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolAli Javed is a scientist and machine learning practitioner with a PhD in Computer Science and over a decade of experience shaping data strategy, metric design, and production ML solutions across industry and academia. Currently at Apple and a visiting scholar at Stanford Medicine, he applies NLU and time-series methods to real-world problems ranging from wearable health analytics to watershed management and healthcare communication. He has a track record of moving models from research to impact—designing, coding, training, and evaluating systems at the intersection of data science and decision-making. Past roles include ML engineering for startups and data warehousing expertise at Teradata, giving him a rare combination of hands-on ML, production data pipelines, and domain-driven research. Based in Austin, he is passionate about neural networks and data and quietly bridges rigorous academic research with pragmatic engineering to deliver measurable outcomes.
8 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science (Machine Learning), Doctor of Philosophy (Ph.D.), Computer Science (Machine Learning) at University of VermontPostdoctoral Scholar, Computer Science, Postdoctoral Scholar, Computer Science at Stanford UniversityGithub contributions (5)
ali-javed/hybrid_semantic
Oct 2017 - Oct 2017
Contributions:26 commits, 25 pushes, 1 branch in 7 days
AshleyLab/MyHeartCounts2.0
Feb 2022 - Nov 2022
Contributions:31 releases, 65 pushes, 1 branch in 9 months
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