Anton Alyakin (sh)machine (sh)learner / aspiring craniotomist
Status Quo
Starting February, 2025 I, again, will be a full-time MD student at Washington University of Saint Louis School of Medicine. I aim to apply to the 2026 Neurological Surgery Match. Very rarely I do get time to do AI research.
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. In 2024, I took a research gap year
during which I was a visiting researcher / AI engineer 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 work on intersections of
vision-language models with the field of Neurosurgery.
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) and Vision-Language Models, 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. I also broadly care about causality and consciousness.
P.S.
Every math answer I give you is always up to a sign/inverse/reciprocal/transpose/etc. Constants are overrated.