Summary
Viktoriia Baibakova is an AI Research Scientist specializing in ML, LLMs, and AI-guided discovery of materials for national-scale energy solutions, with eight years of research experience spanning academia and national labs. She holds a PhD in Materials Science from UC Berkeley and has driven projects that combine chemical reaction networks, computer vision, and text mining—building an 8 million–article database and automated extraction tools for experimental optical data. Her work accelerated computational materials synthesis and DFT pathway convergence through topology-informed methods developed at Skolkovo and Berkeley. At Oak Ridge she bridged research and community as president of the postdoc executive committee while advancing LLM and AI-guided synthesis efforts. Now at Lila Sciences she focuses on scientific superintelligence for in-silico materials discovery, blending deep domain knowledge with practical tooling to shorten discovery cycles. Notably, she pairs hands-on experimental expertise (XRD, SEM, chromatography) with state-of-the-art ML to translate literature and plots into actionable materials insight.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Materials Science and Engineering, 3.8/4.0, Doctor of Philosophy - PhD, Materials Science and Engineering, 3.8/4.0 at University of California, Berkeley
Master of Science - MS, Materials Science, 3.9/4.0, Master of Science - MS, Materials Science, 3.9/4.0 at Skolkovo Institute of Science and Technology
Bachelor of Applied Science - BASc, Engineering Physics/Applied Physics, 5.0/5.0, Bachelor of Applied Science - BASc, Engineering Physics/Applied Physics, 5.0/5.0 at Moscow Institute of Physics and Technology (State University) (MIPT)
High School Diploma, Physics and Mathematics, 5.0/5.0, High School Diploma, Physics and Mathematics, 5.0/5.0 at Physics and Mathematics Lyceum No 5