Metabolic Health Research

Quantitative Modeling of Glycemic Load (GL) & Glycemic Index (GI)

Welcome! This is an open academic space dedicated to quantitative food science and metabolic biomarker analytics. We leverage mathematical and biological compartment models to assess the glycemic impact of dietary intakes, model insulin sensitivity response, and construct personalized low-glycemic meal planning algorithms.

Metabolic Engine: Online

guru-dev@foodguru-node:~$ python calculate_glycemic_load.py --food "Quinoa" --carbs 21.3 --gi 53

[INFO] Fetching USDA Nutritional database for Quinoa... Success.
[CALC] Available Carbohydrates per 100g: 21.3g
[CALC] Glycemic Index (GI): 53 (Low-range threshold)
[MATH] Glycemic Load (GL) = (21.3 * 53) / 100 = 11.29
[STATUS] Classification: MEDIUM GLYCEMIC LOAD (Medium GL)

guru-dev@foodguru-node:~$ curl -s "https://api.dailyfoodguru.com/v1/metrics?user_id=769296465"

Connecting to metric server...

Primary Research Directions

Quantitative Glycemic Index (GI) Profiling Modeling carbohydrate absorption speed and glucose Area Under the Curve (AUC).

Glycemic Load (GL) Dietary Modeling Calculating meal-based insulin demands through polynomial weight algorithms.

CGM Time-Series Analytics Analyzing glucose variability and glycemic waves using continuous telemetry data.

Personalized Macro Ratio Optimization Determining optimal carbohydrate-to-fat ratios using data-driven linear solvers.

Mathematical Metabolic Forecasting Forecasting insulin resistance trends via chronic postprandial glucose dynamics.

Nutritional API & Schema Engineering Integrating USDA food composition schemas with global clinical nutrition datasets.

Open Computational Models

Go / Database

Hermes Glycemic Gateway

A high-performance nutritional data API gateway. Provides lightweight JSON endpoints to compute glycemic index and load values dynamically based on food portion parameters.

Python / Simulation

Glucose Response Simulator

A python simulator using a two-compartment model to simulate postprandial blood glucose dynamics. Allows users to model the flatting effect of dietary fiber and fat additions.

Rust / Analytics

CGM Telemetry Parser

A high-concurrency raw CGM telemetry parser written in Rust. Efficiently processes Dexcom/Freestyle raw logs into glycemic variability metrics like MAGE.

Publications & Insights

2026.07.02

Deep Dive into the Mathematical Relationship Between Glycemic Load (GL) and Glycemic Index (GI)

Deriving a non-linear weighting formula for glycemic load based on available carbohydrate per 100g in mixed meals using clinical trial datasets.

GI & GL

2026.05.12

CGM-Based Metabolic Stability Assessment: Consuming Fats & Proteins First Reduces Glycemic Index

Analyzing time-series CGM telemetry across 50 control subjects to demonstrate the physiological impact of consuming proteins and fats 15 minutes prior to carbohydrate intake.

CGM Analytics