Torchlight 2026

SpaceX Inspiration4 — Molecular Dataset Reference

Omics

Atlas

The complete molecular record of humanity's first all-civilian orbital flight. Four ordinary people. Three days in orbit. Ten thousand biological signals.

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4
Crew Members
Ages 29–51, 2M/2F
2,911
Biospecimens
Collected over 289 days
10
Omics Layers
Genomics to microbiomics
590
Kilometers Up
Higher than ISS
The Mission

September 2021.

Three days at 590 km.

Four civilians — not career astronauts, not exhaustively screened — launched on SpaceX Crew Dragon for the first private orbital mission. They ran ultrasounds on themselves, swabbed for microbes, measured fluid shifts, recorded ECGs, tracked blood oxygen and heart rates.

Ordinary people generating extraordinary data. Published as the Space Omics and Medical Atlas: 44 papers, 8 Nature journals, 100+ institutions worldwide.

JI

Jared Isaacman

Mission Commander

HA

Hayley Arceneaux

Medical Officer

SP

Sian Proctor

Pilot

CS

Chris Sembroski

Mission Specialist

Transcriptomics///Proteomics///Cytokines///Epigenomics///Telomere Biology///Microbiome///Cell-Free DNA///Immune Repertoire///Clinical Panels///Clonal Hematopoiesis///Transcriptomics///Proteomics///Cytokines///Epigenomics///Telomere Biology///Microbiome///Cell-Free DNA///Immune Repertoire///Clinical Panels///Clonal Hematopoiesis///
Explore the Data

Ten layers of biological signal.

Each page below is a deep dive into one data type — what it measures, what the numbers mean, the math involved, and how to use it for the hackathon.

Immune Regulation///Inflammation///Oxidative Stress///DNA Damage Response///Mitochondrial Function///Spaceflight Readiness///Health Intelligence///Immune Regulation///Inflammation///Oxidative Stress///DNA Damage Response///Mitochondrial Function///Spaceflight Readiness///Health Intelligence///
Real Numbers

See the actual data.

Cytokine concentrations, telomere changes, gene expression fold-changes, immune cell populations — every quantitative finding extracted from the published SOMA papers, with z-scores and p-values.

View Findings →
Hackathon Strategy

Build something an astronaut
would actually use.

01

Scoring

Z-score biomarkers against pre-flight baseline. Group by health domain. |z|>1.5 = elevated. Validate against CBC.

02

Visual Language

Mission-control aesthetic. Uncertainty as a first-class element. Temporal scrubbing. Three drill-down levels.

03

Differentiation

Crew-to-crew comparison. Recovery projections. 'We don't know' as a feature. Deployed web app beats PDF.

04

AI Transparency

Document AI interpretation openly. Show reasoning chains. Cite literature. Target 'Best Use of AI' prize.