Dmitri Pavlichin is a Principal Applied Scientist based in Mountain View with a decade of experience at the intersection of information theory, data compression, and statistical inference. A Stanford PhD and former postdoc advised by Tsachy Weissman, he co-founded Compressable to commercialize efficient encodings and tooling for table-like data and previously developed algorithms for compressing and indexing genomic datasets. At Amazon he brings research-grade rigor to production problems, blending signal-processing and statistical techniques with pragmatic engineering. He has a track record of turning theoretical insight from physics and information theory into applied systems for sequencing and tabular workloads—an unusual combination that helps bridge academic innovation and product-ready solutions.
10 years of coding experience
1 year of employment as a software developer
BS, Physics, BS, Physics at Harvard University
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Stanford University
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Dmitri Pavlichin - Principal Applied Scientist at Amazon