ML/AI investigator · data science
I build workflows to investigate how complex systems behave — and to make the behavior legible.
Most recently: emerging infectious disease dynamics, from raw surveillance data through forecasting and simulation. [positioning line — revise]
Track A
As an investigator
Open-ended scientific questions answered with ML/AI — model choice justified, baselines shown, limitations stated.
See the flagship investigation →
Track B
On a focused engagement
Data-science gigs: cleaning, transformation, forecasting, visualization — shipped reliably, reproducibly, on a clear timeline.
See the applied track →The work, as a graph
Each project links to the ones it analytically depends on, so the pipeline reads as one spine rather than five demos. Dependency edges are shown in amber.
06 pipeline ──▶ 07 transforms ──▶ 02 inference · 07 ──▶ 08 forecasting
03 selected work ──▶ 02 · 06 · 07 · 08 · 09 simulation
04 applied ──▶ 06 · 07 · 08 (↛ 02, ↛ 09 — segmented on purpose)
03 selected work ──▶ 02 · 06 · 07 · 08 · 09 simulation
04 applied ──▶ 06 · 07 · 08 (↛ 02, ↛ 09 — segmented on purpose)