Anton Alyakin

Anton Alyakin medical student and ai scientist



Status Quo

I am a medical student at Washington University in Saint Louis School of Medicine. I am currently applying for the 2026 Neurological Surgery Match. My research is in applying statistical and computational approachces to neuroscience, neurosurgery, and medicine at large.

Road So Far

I graduated from Johns Hopkins University with a BS in Computer Science in May 2019 and an MSE in Applied Mathematics & Statistics in December 2019. While a student there I was fortunate to be advised by Suchi Saria and Avanti Athreya. During my gap year I worked as an Assistant Research Engineer at my alma mater’s Department of Applied Mathematics & Statistics. I was a part of the NeuroData lab and primarily worked with Carey Priebe on various problems in statistical graph inference and with Joshua Vogelstein on causal inference from observational health data.

I started medical school at WashU in 2021. In 2024, I took a research year during which I was a CNS AI fellow at NYU OLAB under the supervision of Dr. Eric Oermann. I was co-advised by Dr. Eric Leuthardt at my home institution. During that time I trained the first neurosurgical chatbot that can view imaging, CNS-Obsidian, which was evaluated in a real world randomized trial. See some demos of it here and here! (Also here if you like spine!)

Research Interests

I have worked on various topics spanning connectome statistics, causal decision support, clinical artificial intelligence, and computational safety. Some notable papers are listed below.

Connectome and Graph-based Statistics

Causal Decision Support

Clinical Artificial Intelligence

Computational Safety