Where I test ideas, papers and prototypes.
Living notes on the body, movement, data and AI. Not polished essays. This is working knowledge, organized by field, written as I study and build. A second brain, made public.
Exercise Physiology & Training
Load. Adapt. Perform.
Exercise physiology, training methods, programming, periodization, and performance.
Enter the space →Physiotherapy
From pain to function.
Protocols, rehabilitation, clinical assessment, case studies.
Enter the space →Data Science
Signal over noise.
Models, analysis, statistics, ML foundations.
Enter the space →Nutrition
Fuel, backed by evidence.
Evidence, protocols, sports & clinical nutrition.
Enter the space →Longevity
More healthy years, not just more years.
Healthspan, aging, cardiorespiratory fitness, and muscle and metabolic health.
Enter the space →Clinical AI & Healthcare
Evidence, systems and care.
Clinical AI, agents, and evidence tools, with strategy, operations, finance, and health systems.
Enter the space →Start with one idea from each field
A balanced path through the body, movement, operations, data and responsible AI.
Adipose tissue is not a warehouse: it is an endocrine organ
Adipose tissue stores energy, but that is only part of its work. It senses nutritional status, communicates through hormones and other signals, interacts with immune, vascular and nervous cells, and remodels in response to energy balance. Metabolic health therefore depends not only on how much adipose tissue exists, but also on where it is, how it expands and whether it remains functional.
What fuel does the body use during exercise, and why does it change with intensity?
Muscle contraction is powered by ATP, which must be continually resynthesized through phosphocreatine, glycolytic and oxidative pathways. All contribute from the beginning, while their relative roles change with the rate of energy demand, exercise duration, training status and nutrient availability. Higher intensity generally increases reliance on muscle glycogen and carbohydrate, but there is no universal switch where fat suddenly turns off.
From pain to function: what outcomes should guide rehabilitation?
Pain matters, but it cannot describe rehabilitation success by itself. A useful outcome system combines symptoms, patient-reported function, performance, participation, individual goals, perceived change, safety and treatment exposure. The goal is not to collect every possible metric, but to follow a small set that can change decisions.
Healthcare management is the work of aligning four systems
A healthcare organization does not improve because every department works harder. It improves when mission, clinical care, operations and finance point in the same direction. Saudi Arabia and Colombia organize those forces differently, but the manager's real job is the same: turn resources into a patient journey that is accessible, safe and continuous.
N-of-1: each person is their own baseline
Population averages describe a crowd, not a person. N-of-1 analysis looks at repeated measurements inside one individual over time. It's the right frame for questions like 'what happens to my energy when I sleep less than my own average?'
Grounding an LLM in evidence: faithfulness, citations and hallucinations
Retrieval puts the right passages in front of the model, but the model can still drift and state something the passages never said. Grounding is the discipline that fights that: cite every claim, forbid mixing chunks, measure faithfulness. In any high-stakes domain, a confident unsupported answer is the failure to engineer against.