Physics at the core.
Mechanics, electromagnetism, waves, thermodynamics and quantitative measurement provide the foundational principles.
A physics-led scientific perspective on living systems, connecting anatomy and physiology with advanced software, cloud computing, implementation engineering and secure information exchange.
Mechanics, electromagnetism, waves, thermodynamics and quantitative measurement provide the foundational principles.
Human anatomy, cellular systems, physiology and biological signals are the focus of scientific questions.
Research software, cloud architecture, implementation methods and interoperable information support responsible analysis.
Physical principles describe motion, forces, electrical activity, transport and energy. Biology gives those laws living context; well-engineered computational systems help study observations, simulate possibilities and interchange knowledge responsibly.
↗Our scientific viewpoint begins with human structure and function: organs, tissues, neural systems, circulation and the physical processes that connect them.
Relating anatomical architecture to physiological activity.
Examining signals, pressure, motion, transport and measurement.
Using transparent models and software to organize complex observations.
Seven themes connect physical laws to anatomy, living systems, scientific computing and the wider planetary environment.
Exploring mechanics, electromagnetism, waves, energy, material interactions and the principles of measurement.
Our scientific foundation: mechanics, electromagnetism, waves, thermodynamics and measurable biological processes.
Examining how the body is organized, how organs interact and how physiological systems maintain balance.
Considering the structures, mechanisms and dynamic processes that sustain living cells.
Studying how trustworthy software, standards and structured information support clinical understanding.
Combining biological knowledge, mathematics and reproducible computing to examine complex questions.
Using Earth, planetary environments and space exploration as a broader lens for studying life.
Complex computation turns physical measurement and biological questions into reviewable research workflows. Our interests span scientific software, cloud architecture, numerical models, imaging, clinical implementation and interoperability.
Explore research technology ↗Anatomy, biophysics and physiological data underpin responsible medical software. Cloud services, integration design, clinical interoperability, verification and human oversight give computation its clinical context.
Explore clinical systems ↗Good scientific questions are supported by reproducible methods, critical evaluation and an honest account of uncertainty.
Specify the biological question, scope, assumptions and evidence needed.
Consider measurement quality, biological variability and appropriate controls.
Use quantitative reasoning to assess hypotheses and alternative explanations.
Prioritize repeatability, transparency, ethics and clear limitations.
The scale of the universe inspires perspective. Our approach remains grounded in physics, focused on biology, and guided by evidence and human wellbeing.
Our purpose ↗We study life from where it is known to exist: Earth. The wider universe offers context for physics, environmental biology and questions about how living systems respond to their surroundings.
Earth is home to human civilization. Mars represents a frontier of robotic exploration and future scientific inquiry—not an existing human settlement.
Explore the bigger questions ↗Editorial reading on the science and technology of living systems. These are perspectives, not published experimental results.
How mechanics, thermodynamics, electromagnetism and measurement form a foundation for studying biology.
Read perspectiveThe engineering disciplines behind software, cloud architecture and responsible medical information exchange.
Read perspectiveThe connection between structural understanding, physiological context and responsible clinical software.
Read perspectiveA scientific lens on pressure, bioelectricity, transport and the limits of measured signals.
Read perspectiveWhy interoperability, privacy, verification and clinical context matter in medical computation.
Read perspectiveWhy visualizing living structures is only the beginning of a scientific investigation.
Read perspectiveA measured look at variability, noise and context in biological signal research.
Read perspectiveReliable biological computing begins with transparent data, assumptions and validation.
Read perspective