Open, MIT-licensed food & nutrition science research skills for Claude Code, Codex, and MiniMax Agent — multi-agent literature/systematic review, journal-aware writing, peer review, and figures, plus author-guideline skills for 150+ journals. Initiated by the Food Science Group, University of Melbourne.

Open-source framework for computational formulation science from ingredient validation to autonomous mixture optimization. The missing infrastructure layer between single-molecule tools (RDKit) and real-world formulation.

A procedural cooking engine that generates novel recipes using molecular flavor science, texture pairing, and taste balance analysis — with optional AI Chef integration.

Predictive modeling and process optimization of Aloe vera extraction using experimental design and multivariate polynomial regression.

Match free-text food descriptions to standardized reference databases using on-device ML. Built for nutrition researchers on Apple Silicon.

CAAIL (Cellular Agriculture AI Library), is a curated, open-source collection of resources dedicated to the intersection of Cellular Agriculture and AI

Various scripts and tools used in food science

Multi-modal AI that generates novel recipes, predicts flavor combinations, and analyzes food chemistry using molecular gastronomy principles.

A model-facing field substrate for deterministic food physics, culinary formulation, and dietary constraint engineering.

Data and R scripts for analyzing the proximate composition and marketing methods of Nappi (fermented shrimp) in Cox’s Bazar, Bangladesh.

The dkgB-linked intergenic sequence ribotype (ISR) region of Salmonella enterica subspecies I can be used to screen for serotype. The ISR database is reviewed by BLAST in comparison to NCBI complete and draft genomes, which respectively had approximately 662 and 7,900 genomes as of end of March 2018. It was developed by triangulation with Kauffm…

Final project for CS/INFO 2300 - fully dynamic, database backed website with responsive mobile design for the Cornell Food Science Club

TryVit — Food Health Scanner. Scan, score & compare food products with multi-axis health scoring.

Headless, research-grade Python toolkit for Raman and FTIR spectroscopy in food science.

This is the place where I profile my work and share it with like-minded people.

Contains the source code used by Engstrøm et al. (2025) for predicting chemical maps with a modified U-Net.

Delivers interactive HTML-based workshop materials teaching food science students about AI applications, ethics, and prompt engineering through hands-on learning activities.

🚀 Landing page

A computational framework for identification, evaluation, and prioritization of biologically meaningful biosensor targets associated with food contamination. Integrates biological databases, literature mining, weighted scoring, and target ranking to support future biosensor development in food systems.