Summary
Ilya Tolstikhin is a Senior Research Scientist at Google DeepMind with nine years of experience developing large-scale models and advancing research on LLM reasoning, tool-use, and prompting. He leads work on the Gemma open weights model and contributes to practical tooling such as the OneTwo Python library. His background blends deep theoretical expertise in statistical learning—leading a group in Bernhard Schölkopf’s lab—with applied systems experience from Kaspersky where he built large-data ML pipelines for malware detection. Ilya’s career spans unsupervised generative modeling, computer vision, and rigorous study of neural network training and generalization, giving him a rare mix of theory and production-oriented research. Based in Zurich, he pairs a PhD-level foundation with hands-on prototyping in multiple languages and domains. A less obvious strength is his track record of moving from low-level security analysis to cutting-edge LLM capabilities, showing both deep analytical rigor and practical impact.
9 years of coding experience
4 years of employment as a software developer
Ph.D. student Computer Science, Ph.D. student Computer Science at Computing Centre of Russian Academy of Sciences (CCRAS)
Lomonosov Moscow State University
Японский, Английский, Русский, German