Decision test 01
Is the question genuinely mechanistic?
A strong concept must identify a causal uncertainty, not merely another association with chronological age.
Research programme
Building a mechanistic cross-scale research programme
Longevity and aging biology define the search space; the strategic focus is the bridge from genetic and omics signals to protein structure, molecular function, proteostasis and computational systems inference. The lead concept remains under selection.
Concept developmentNo results claimedScope under evaluation
Scientific architecture
From broad field to precise programme
Longevity is the thematic frame. The fundable scientific object must emerge from a narrower, defensible and person-specific research question.
Decision test 02
Can the hypothesis fail clearly?
The experimental and computational design must expose the central proposition to meaningful falsification.
Decision test 03
Does each method earn its place?
Every measurement layer must answer a defined question and connect to the programme's causal logic.
Decision test 04
Is the ambition executable?
Novelty, expertise, access, timing, risk and validation must remain coherent at programme scale.
Research domains
Scientific territory across ten connected domains
These domains define the search space; they do not yet constitute a selected study or funded project.
01
Aging Biology
Mechanistic study of how biological function changes across molecular, cellular and systemic scales.
02
Genomics
Sequence variation, genome architecture and regulatory landscapes.
03
Multi-Omics
Joint analysis of genomic, epigenomic, transcriptomic and proteomic layers.
04
Structural Biology
Three-dimensional biomolecular structure and its relation to function.
05
Molecular Biophysics
Physical principles governing molecular stability, dynamics and interaction.
06
Bioinformatics
Reproducible computational analysis of large-scale biological data.
07
Systems Biology
Network-level models of interacting biological components and states.
08
Precision Medicine
Inter-individual biological variation and heterogeneous trajectories.
09
Translational Research
Connecting mechanistic questions with potential clinical relevance.
10
Longevity Science
Determinants of healthspan, resilience and variation in biological aging.
Development logic
From researcher track record to experimental programme
The programme is deliberately built in sequence: verified capability first, then horizon scanning, validated knowledge gaps, concept competition and only then a selected experimental programme.
- 01
Scientific Track Record
Verify publications, methods, independence and scientific trajectory for the candidate researchers.
- 02
Horizon Scanning
Map frontier aging biology, emerging technologies, contradictions and unresolved mechanisms.
- 03
Unresolved Problems
Identify questions whose scientific importance extends beyond descriptive biomarker discovery.
- 04
Knowledge Gaps
Validate where current mechanistic explanation genuinely ends using current primary evidence.
- 05
Research Opportunities
Generate a broad portfolio of serious, person-specific frontier-research directions.
- 06
Concept Competition
Score and red-team candidate concepts for novelty, PI fit, high-risk/high-gain and feasibility.
- 07
Lead Concept
Select one research question only after novelty, competition and scientific fit survive deep review.
- 08
Experimental Programme
Build hypotheses, aims, methods, validation, statistics, risks and alternative strategies around the selected concept.
Candidate directions
Mechanistic priorities under comparative evaluation
The current list is exploratory. Status labels describe concept maturity only.
Biological Resilience
Why some biological systems maintain function longer than others.
Exploratory
Molecular Aging Signatures
Separating potentially causal molecular changes from correlates of age.
Exploratory
Multi-Omics Integration
Connecting heterogeneous molecular layers into interpretable models.
Research Area
Structural Drivers of Aging
How molecular structure and protein dynamics may relate to loss of function.
Exploratory
Precision Longevity
Understanding heterogeneous biological trajectories between individuals.
Research Area
Programme development
Evidence-gated programme development
The grant narrative follows the science. A proposal architecture is developed only after a coherent scientific concept survives profile, novelty and feasibility review.
- 01
Phase 01
Scientific Profile Mapping
Verify expertise, track record, methods and available research capability.
- 02
Phase 02
Horizon Scan
Map the current field, emerging methods and competing research directions.
- 03
Phase 03
Knowledge Gap Analysis
Identify open questions with genuine mechanistic and conceptual value.
- 04
Phase 04
Research Concepts
Formulate candidate programmes with explicit assumptions and hypotheses.
- 05
Phase 05
Concept Selection
Evaluate novelty, feasibility, fit and scientific significance.
- 06
Phase 06
Experimental Design
Specify models, controls, power, analysis and validation strategy.
- 07
Phase 07
Pilot Evidence
Plan the evidence needed to de-risk central scientific assumptions.
- 08
Phase 08
Grant Architecture
Structure objectives, work packages, risks and resources.
- 09
Phase 09
Proposal Development
Draft, challenge and revise the scientific case.
- 10
Phase 10
Submission Readiness
Complete compliance, consistency and quality assurance.