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. My research is in applying statistical and computational approachces to surgery 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. I was a part of the NeuroData lab where I 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 WashU. 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.

Clinical Artificial Intelligence Models

Computational Safety

Connectome and Graph-based Statistics

Causal Decision Support

Clinical Artificial Intelligence Models

Computational Safety

Commentary