Understanding Aging as a Complex System
We develop mathematical and computational models to understand how interacting biological processes drive cellular aging and how those dynamics might be altered.
RESEARCH AT THE CENTER
Research is at the heart of Systems Beyond
Systems Beyond was created to investigate difficult questions that require long-term, independent and integrative thinking.
Our consulting work applies systems thinking to external scientific and organizational challenges.
Our independent research program uses the same capabilities to pursue one fundamental question:
Can aging be understood and influenced as a dynamical process?
Why aging?
Aging emerges from the interaction of many processes:
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DNA damage and repair
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Mitochondrial function
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Oxidative and cellular stress
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Nutrient sensing
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Inflammation
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Autophagy and proteostasis
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Epigenetic regulation
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Cellular senescence
These mechanisms do not operate independently.
They form interconnected networks with feedback loops, thresholds and nonlinear responses.
Understanding aging therefore requires more than studying one pathway at a time.
It requires understanding the system.
BEYOND LIFE
Building a computational model of cellular aging
Beyond Life is our independent research program dedicated to studying aging through complex-systems science.
We are developing a computational representation of a human somatic cell—a digital model in which aging-related pathways interact over time.
The objective is to explore how cells transition between states such as:
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Healthy proliferation
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Adaptation and recovery
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Cellular dysfunction
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Senescence
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Apoptosis
The model allows us to test biological assumptions, compare possible interventions and generate hypotheses that can later be evaluated against experimental evidence.
How we work
1
INTEGRATE
We connect findings from published studies, experimental data and established biological mechanisms.
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MODEL
We translate these interactions into transparent mathematical and computational frameworks.
3
SIMULATE
We explore how different conditions, perturbations and interventions affect cellular behavior.
4
TEST
We compare model behavior with existing biological evidence and identify predictions that require further validation.
CURRENT RESEARCH
Our first digital cell
Our first model represents key signaling and regulatory processes involved in somatic-cell aging.
The initial prototype uses a logical network to study how environmental and intracellular signals produce different cellular states.
The current research phase focuses on:
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Refining the biological network
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Testing alternative regulatory assumptions
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Analyzing stable cellular states
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Simulating genetic and therapeutic perturbations
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Identifying influential pathways and combinations
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Comparing model behavior with published evidence
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Progressing toward continuous and stochastic models
The purpose is not to replace experimental biology.
It is to create a computational environment where ideas can be examined, challenged and prioritized before experimental testing.
Frequently Asked Questions
Whenever possible, we aim to make our models, assumptions, methods, simulation results and limitations publicly available.
Research materials will be released progressively as each stage becomes sufficiently documented, reproducible and ready for external review.
The project is currently focused on computational development and comparison with published biological evidence. Experimental validation will require collaboration with specialized laboratories and researchers.
We welcome collaboration with researchers and institutions working in aging biology, systems biology, mathematics, computational science, bioinformatics and related fields.
We are particularly interested in biological review, access to relevant datasets, experimental validation, model development and joint research publications.
Contact us with a short description of your expertise, research interests and the type of collaboration you have in mind.
Research Institutions We Have Worked With
Help us understand aging differently
We are building a long-term computational research program to investigate how biological systems change, lose resilience and transition into aged states.
Researchers, institutions and aligned partners are invited to contribute expertise, evidence, validation and support.
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