Discrete Event Simulation in RSimmer of Ambulance Job Cycle Times
R Simmer implemention of the treatment simulation model
Reproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing the Stroke Capacity Planning Model from Monks et al. 2016.
Reproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing an M/M/s queueing model.
Simmer: open-source Android recipe app. Import recipes from Instagram Reels, cook step by step with timers, scale servings, shopping list. On-device AI (Gemma, Whisper), Kotlin + Jetpack Compose.
Assessing the computational reproducibility of Huang et al. 2019 as part of STARS.
Automate Polymarket weather trades with Kelly sizing, NWS forecast scans, and trade simulation for temperature market edge
This project simulates a bank’s queuing system using R to evaluate customer wait times, queue lengths, and server utilization. It compares the current two-teller setup with a proposed three-teller system to assess efficiency improvements.
Discrete-event simulation of a two-tier SOC in R (simmer): analyst staffing vs. triage SLAs, alert overload and missed incidents, stress-tested and checked against M/G/c queueing theory.
Live-tennis match-state gate for Simmer and Polymarket tennis markets, modeled on simmer-sdk's regime_gate_skill.py. Observe-only. Gates and sizes entries on live score, serving, break-point and retirement state from the Live Tennis API (FREE tier). MIT.
Documentation supporting template reproducible analytical pipelines (RAP) for simple python and R discrete-event simulation (DES) models.
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