Samuel Marks

Researching at Stanford Medical School.

A maintainer of Google's LLM training and inference reference JAX library MaxText.

Developer of new C and Python compilers.

Engineered new 1-click cross-platform multicloud Docker-optional deployment tools.

Organizations

Starting with the University of Sydney PhD (Medicine) research that created technologies to facilitate large-scale screening programs for glaucoma and diabetic retinopathy; I continued onto Harvard Medical School to work on Big Data (specifically 2TB of fundus photos); along the way gaining multi-million dollar in-kind grants from Google.

At Stanford Medical School I work both on Health Systems Engineering and technologies, creating new LLMs for inpatient intensive cardiac care and outpatient T1D management for pædiatrics.

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Python
Compiler
C
Compiler
Python
1.8k
LLMs trained on 51k TPUs
C / Rust / Go / Shell
Cross-platform deploys
1,412 contributions in the last year
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