Because no one should manage diabetes alone 💙
macOS toolbar glucose viewer
Shotgun metagenomics analysis pipeline for Type 2 Diabetes gut microbiome using Snakemake.
Mechanistic digital twin for Type 2 Diabetes → CKD, modeling renal decline through hyperfiltration dynamics, interpretable parameters, Bayesian inference, and AI.
Self-hosted food log and patient handbook for chronic kidney disease and type 1 diabetes: potassium, phosphorus, sodium, protein, fluid and carb tracking, meal planning, barcodes, offline PWA.
Nightscout Client, to display Continuous Glucose Monitor and/or Insulin Pump Data on your ROKU Platform as a Roku App and/or Screensaver (requires Nightscout Server Setup from https://nightscout.github.io/)
Transcriptome-wide cis-MR x colocalization atlas for type 2 diabetes, coronary artery disease, and fasting glucose: operating characteristics and candidate effector genes (data + code for the associated manuscript)
Reproducible whole-blood transcriptomics analysis of Type 2 Diabetes using GSE189005, including differential expression, pathway enrichment, GSEA, and exploratory biomarker modelling.
Live blood glucose (FreeStyle Libre / LibreLinkUp) in the Omarchy bar
"Analytical model for Type 2 Diabetes in the Caucasian population, focusing on the causal relationship between insulin resistance and lipid overload."
Website version of my dissertation "Type 2 diabetes in migrants: a register-based analysis"
Code and data for a systematic review and meta-analysis comparing machine learning and regression models for predicting stroke in type 2 diabetes
Using Mendelian Randomization to decipher the prodrome of Amyotrophic Lateral Sclerosis and Parkinson's Disease
GlucoTwin - A Type 2 Diabetes Digital Twin (Happiest Health Digital Twin Challenge 2026) by Team AlgoAura, MERI College of Engineering and Technology.
Mechanistic 18-variable ode model coupling hpa-metabolic dynamics. calibrated to the uk biobank using individualized scaling.
Computational medicinal chemistry project integrating molecular docking, network pharmacology, and ADMET prediction to evaluate berberine as a potential therapeutic candidate against Type 2 Diabetes Mellitus.
Structure-based drug discovery study of DPP-4 inhibitors integrating molecular docking, MD simulations, and binding free energy analysis.
End-to-end clinical shotgun metagenomic pipeline investigating microbial triggers (NOD2/TLR4) of metabolic inflammation, disproving barrier failure and supporting the Host Autonomy model in Type 2 Diabetes.
Integrative multi-omics and machine learning analysis to identify shared immunometabolic signatures between Type 2 Diabetes and Chronic Lymphocytic Leukemia.
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