Anton Alyakin (sh)machine (sh)learner / aspiring craniotomist
Status Quo
I am currently (March 2024-March 2025) a visiting medical (MD) student researcher at NYU OLAB under the supervision of Dr. Eric Oermann. I am co-advised by Dr. Eric Leuthardt at my home institution (Washington University School of Medicine in Saint Louis). After completing this research experience, I plan to return to finish my MD at the WUSM. I aim to apply to 2026 Neurological Surgery Match.
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 COVID 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 an MD-PhD program at
Washington University School of Medicine in 2021, but later decided to only
pursue the first two letters out of five.
Research Interests
Research-wise, I am curious about
- artificial intelligence, and why might neural networks have some already,
- human intelligence, and why I might not have any still.
Most of my recent work has been on Large Language Models (LLMs), after they became cool. My research interests outside of LLMs&Neurosurgery include statistical inference on connectome networks, diagnostic and prognostic clinical decision support tools, among other intersections of statistics and medicine.
P.S.
Every math answer I give you is always up to a sign/inverse/reciprocal/transpose/etc. Constants are overrated.