Summary
Ankit Izardar is a data scientist/engineer with ~6 years of experience building AI-enhanced R&D workflows and production data tools for materials innovation. He holds a Doctor of Science in Computational Materials Science from ETH Zurich, where he combined ab-initio simulations, high-performance computing, and unsupervised machine learning to uncover structure–property relationships in rare-earth‑free magnets and published the results. At Huntsman he leads development of an electronic laboratory notebook and deploys statistical and ML methods to accelerate materials design and knowledge management across cross-functional teams. His background spans hands-on HPC deployment (Jupyter on Cray), Dockerized scientific computing, and custom Monte Carlo and molecular dynamics codes—skills that bridge research-grade simulation and production analytics. Colleagues rely on him to translate complex physical models into data-driven decision tools that scale beyond the lab.
6 years of coding experience
7 years of employment as a software developer
Master of Science (M.Sc.), Materials Science and Simulation, Master of Science (M.Sc.), Materials Science and Simulation at Ruhr University Bochum
Doctor of Science, Computational Materials Science, Doctor of Science, Computational Materials Science at ETH Zurich
Bachelor of Technology (B.Tech.), Metallurgical and Materials Engineering, Bachelor of Technology (B.Tech.), Metallurgical and Materials Engineering at National Institute of Technology Karnataka
English, German, Hindi