Summary
Anya Korsakova is a Staff Machine Learning Scientist with a decade of experience at the intersection of ML and computational genomics, currently working on DNA-focused models at Tempus AI after a postdoc at Calico Life Sciences. She builds and benchmarks foundation DNA models, multimodal ML frameworks, and mechanistic interpretability tools applied to variant effect prediction, DNA structure, and RNA splicing. Her background in theoretical physics and applied mathematics gives her a strong grounding in nonlinear dynamics and rigorous modeling approaches, which she leverages for problems like graph RAG and sequence-to-structure prediction. She has hands-on experience with nanopore sequencing ML and cancer genomics from roles in Singapore, and an early career in C++ systems development that informs her engineering-first research. Known for blending deep theory with practical pipelines, she focuses on interpretable, production-ready models rather than black-box solutions. Based in San Francisco, she also pursues applied interests in algorithmic trading and crypto market making, reflecting a taste for complex dynamical systems beyond biology.
10 years of coding experience
5 years of employment as a software developer
MS (Honors), Applied Mathematics and Physics, MS (Honors), Applied Mathematics and Physics at National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Nanyang Technological University Singapore
Russian, English, French