01 / Computational research
AXIOMERIS
An independent research initiative at the intersection of data, machine learning, and complex systems.
Early-stage research · public overview
Research overviewResearch / An evolving practice
A question.
A method. Evidence.
I work at the boundary between building a system and understanding why it works. These projects are where I develop that practice: through explicit assumptions, useful baselines, and reproducible experiments.
Current investigations
03 programs / Work in progress02 / Software systems
TRACE
An ongoing investigation into software relationships, engineering judgment, and reliable AI-assisted development.
Early-stage research · public overview
Research overview03 / Biomedical data
Diabeteris
An early-stage exploration of biomedical data, research evidence, and responsible applications of machine learning.
Early-stage research · public overview
Research overviewHow I approach the work
Start with a question.
Define what is uncertain, why it matters, and what evidence would change the answer.
Make the baseline count.
Compare against a simpler method. Added complexity has to earn its place.
Keep the evidence attached.
Track the source, assumptions, data version, and checks behind a result.
Write down what did not work.
Preserve failed attempts and null results so the next experiment starts with more knowledge.
Publications / Next chapter
Working toward
the first papers.
My research is in development. This space will hold papers, preprints, experiment reports, and the artifacts needed to inspect the work as they become available.
For now, the project pages introduce the broad areas of interest. Technical details and findings will accompany future releases. The learning journal shares general reflections on research practice.
Read the learning journal