The Virtual Planet Simulator
🪐 ML-powered exoplanet habitability predictor | Flask API + Interactive Dashboard | Tuned Random Forest | ESI Calculation | Deployed on Render
Exoplanet Life Probability Calculator
The Planetary Habitability Library
Source code to calculate the Habitability Index for Transiting Exoplanets (HITE).
TID-AD-ASTRA (“To the Stars”) is an explainable-AI system that interprets planetary data from NASA’s Exoplanet Archive and the Open Exoplanet Catalogue. It predicts exoplanet habitability and provides transparent explanations behind every decision — helping scientists, educators, and explorers understand how AI perceives alien worlds.
Planet 112, built using Unity. Amoriem Lab's third long-term project: a fantasy RPG where the player embarks on a mission to restore a planet's atmosphere by planting long-lost seeds from the past.
Deterministic habitability index for exoplanets – Final Master’s Thesis, Master’s in Data Science and Big Data, MIOTI Tech School.
This is the source code to post-process model outputs and perform the analyses as published in Adams, Colose, Merrelli, Turnbull, & Kane (2024).
Interactive 2D-EBM Digital Twin of TRAPPIST-1e. Real-time climate simulation, mass-conserving hydrology, and biosignature response to M-dwarf stellar flares. Built for HACK-4-SAGES 2026.
"Silicates Eroded under Simulated Martian Conditions Effectively Kill Bacteria - A Challenge for Life on Mars" published in Frontiers in Microbiology (2017)
Interactive calculator for estimating potentially Earth-like planets across the Milky Way and the observable universe using transparent astrophysical assumptions.
NASA Space Apps 2024 Global Nominee platform for exoplanet habitability assessment using NASA data, Python, Scikit-learn, MySQL, React, and Vercel.
Automated framework for water-rich exoplanet characterization using JWST transmission spectroscopy.
A web framework where habitability is a structural constraint, not a suggestion. Built by The Human Pattern Lab.
This repository is my MSc dissertation on assessing our capabilities and ability to detect habitable exomoons around gas giants exoplanets.
A project that uses a trained ML model to estimate exoplanet habitability from the PHL exoplanet catalog. Includes a web interface plus the training script and dataset so you can inspect or retrain the model.
Active Learning for Exoplanet Habitability Classification under Extreme Class Imbalance
Authors: Jamie Farquharson, Delaney Dyment, Kohl Hedley, Jonathan Irving
Course material for the Microbial Metabolism and Habitability class at the University of Naples Federico II
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