Summary
Nikita Drobyshev is a Lead Research Scientist specializing in human-centric generative video systems, with six years of experience taking research ideas through to real-time production. He built and now leads a team at Cantina Labs focused on large-scale diffusion and flow-matching video models optimized for low latency, robustness, and consistent visual quality, and has shipped photorealistic lip-sync that outperforms market APIs on internal metrics. His prior roles at Meta and Samsung produced influential papers and prototypes—MegaPortraits, EMOPortraits, and contributions to AI dubbing for Reels—that advanced one-shot, high-resolution talking-heads and audio-driven facial animation. Nikita combines hands-on model and systems expertise with team-building and mentorship, running intern projects end-to-end that have yielded publishable results. He is London-based and unusually focused on practical deployability trade-offs (real-time throughput, distillation paths, identity locking) that bridge academic impact and product readiness.
6 years of coding experience
6 years of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at Skolkovo Institute of Science and Technology
Bachelor's degree, Applied Mathematics, Bachelor's degree, Applied Mathematics at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)