Summary
Igor Zablotchi is a research scientist at Mysten Labs with 12 years of experience bridging distributed systems theory and practical ML systems. He completed a PhD at EPFL under Rachid Guerraoui and a postdoc in Nir Shavit’s group at MIT CSAIL, with his dissertation earning EuroSys Needham Honorable Mention and EPFL Thesis Distinction. His current work focuses on data-efficient deep learning and scaling very large models, while his background in shared-memory algorithms, RDMA and persistent memory informs system-level optimizations. Igor has a strong internship track record at Microsoft, Oracle and VMware exploring hardware-software synchronization, fast consensus, and blockchain, revealing a knack for applying theoretical insights to emerging technologies. Based in Zurich, he pairs rigorous academic pedigree with hands-on system design that targets both algorithmic foundations and real-world performance.
12 years of coding experience
Master's Degree, Computer Science, Master's Degree, Computer Science at Brown University
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Ecole polytechnique fédérale de Lausanne
English, French, Romanian