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A Boolean network for proliferation, apoptosis, and senescence 1. Why we built this model Aging doesn’t happen in one organelle or one pathway. It emerges from how nutrient sensing, stress responses, DNA damage, and inflammatory signals talk to each other over time. To even start asking serious “what if?” questions (CR, rapamycin, NAD⁺, anti-inflammatories, etc.), we need a generalizable somatic cell model, not tied to a specific tissue or disease. The model presented here is

Toward Living, Self-Organizing Exosuits. What if protective gear didn’t feel like gear at all, but like a living extension of your own body? Today, most exoskeletons and prosthetics are designed as machines strapped onto flesh: rigid frames, discrete hinges, and motors that try to approximate human movement from the outside. They can be powerful, but they’re often heavy, uncomfortable, and poorly matched to the softness and adaptability of real tissue. With Beyond Body , we’r

Aging is often described in metaphors: a clock, a slow fire, a gradual loss of order. But if we want to intervene in aging in a systematic way, metaphors aren’t enough. At Systems Beyond, we’re starting the aging project by doing something very concrete: We are building a “digital cell” – a computational model of a somatic human cell that we can expose to different conditions and see how it ages, adapts, or breaks. Why start with a virtual cell? Aging is a systems problem . I

Modeling Cognition for Ethical Brain Augmentation. We have remarkable tools for looking at the brain—MRI scanners, EEG caps, intracranial recordings, stimulation devices, and now large-scale neural datasets. But there’s still a huge gap between: “Which neurons fire when a person sees a picture,” and “What it means to understand , to remember, to plan, to focus.” Beyond Mind  exists to work in that gap. We’re building multi-scale computational models of cognition —from neural