Earth · Chromosomes · Brain · Development

Change becomes understandable when we study structure, dynamics, and scale together.

An independent learning platform connecting seismic imaging, chromosome architecture, developmental neuroscience, and multiscale scientific reasoning.

Layers of Change geometric symbol representing multiscale change
Trace Organize Compare Explain
Trace the signal Organize the structure Compare across scales Explain the change

Four Learning Fields

From wavefields beneath Earth to changing networks in cells and brains

01

Seismic Imaging & Wave Physics

  • Wave propagation
  • Seismic tomography
  • Inverse problems
  • Wavefield analysis
02

Chromosome Architecture

  • Chromosome cohesion
  • Cohesin
  • Genome organization
  • Cell division
03

Developmental Neuroendocrinology

  • Hormones and brain
  • Developmental change
  • Brain networks
  • Person-specific models
04

Multiscale Scientific Inference

  • Model comparison
  • Uncertainty
  • Cross-scale reasoning
  • Quantitative interpretation

Trace–Organize–Compare–Explain

A practical framework for studying change across complex systems

01 — Trace

Identify what is being measured and how the observable signal relates to the hidden system.

02 — Organize

Represent components, interactions, boundaries, and constraints in a form that can be examined.

03 — Compare

Test alternative models, developmental states, or structural explanations against the available evidence.

04 — Explain

State what the evidence supports, what remains uncertain, and how the explanation changes across scale or context.

Six researchers across geophysics, chromosome biology, and developmental neuroscience

Tariq Alkhalifah

KAUST · Saudi Arabia

Geophysics · Seismic Imaging · Wave Analysis

Focuses on seismic imaging, acquisition, wavefield analysis, near-surface treatment and computational geophysics.

Madhusudhan Srinivasan

University of Oxford · United Kingdom

Biochemistry · Chromosome Biology · Cohesin

Studies chromosome organization, cohesin, genome mechanics, cell division and chromosome segregation.

Adriene M. Beltz

University of Michigan · United States

Developmental Neuroscience · Hormones · Quantitative Methods

Examines brain networks, hormone-related developmental processes, intensive longitudinal methods, person-specific models, brain and behavior across the lifespan.

Andreas Fichtner

ETH Zurich · Switzerland

Seismology · Wave Physics · Tomography

Researches seismic tomography, full-waveform inversion, numerical wave propagation, uncertainty quantification, fibre-optic sensing.

Kim Nasmyth

University of Oxford · United Kingdom

Genetics · Chromosome Segregation · Cohesin

Investigates chromosome segregation, sister-chromatid cohesion, cohesin, cell-cycle chromosome organization.

Emily G. Jacobs

UC Santa Barbara · United States

Neuroscience · Endocrinology · Brain Plasticity

Explores brain plasticity, sex hormones, pregnancy, menopause, neuroendocrine development, human brain imaging.

Independence note:

The first three email addresses are platform contact addresses supplied for this site and are not presented as verified university email accounts.

Researcher inclusion is for educational context only and does not imply affiliation, employment, collaboration, or endorsement.

Short guides for understanding structure and change across scales

How does seismic imaging reveal hidden structure?

Seismic imaging records elastic waves as they propagate through the Earth. By analyzing the time it takes for these waves to return to the surface and their amplitudes, scientists can reconstruct the internal structural properties of the subsurface.

What is waveform inversion?

Waveform inversion is a sophisticated technique that utilizes the entire recorded wavefield rather than just specific arrivals. It iteratively updates a model of the Earth to minimize the difference between simulated and observed data, yielding high-resolution images.

Why does chromosome cohesion matter?

Chromosome cohesion ensures that sister chromatids remain physically connected from DNA replication until cell division. This mechanism is critical for accurate segregation of genetic material, preventing errors that could lead to developmental disorders or cancer.

What is chromosome architecture?

Chromosome architecture refers to the 3D folding and organization of genomes within the nucleus. It involves structural proteins like cohesin forming loops and domains, fundamentally regulating gene expression and cellular function across developmental timescales.

How can hormones shape brain development?

Hormones serve as powerful signaling molecules that coordinate structural and functional changes in the brain. During critical periods such as puberty, they influence neuroplasticity, network connectivity, and the emergence of complex cognitive and emotional behaviors.

Why use person-specific models?

Traditional grouped analyses can obscure critical individual differences. Person-specific models leverage intensive longitudinal data to map individual developmental trajectories, revealing nuanced network dynamics that apply uniquely to a single person over time.

About Layers of Change

Hidden structure often becomes visible only through change.

Whether examining the propagation of seismic waves, the dynamic folding of chromosomes, the fluctuating influence of hormones, or the reorganization of brain networks, change provides the crucial signal. Scientific measurement relies on observing this variance to infer the hidden architecture of these complex systems.

Layers of Change focuses on multiscale reasoning, highlighting the theoretical and methodological parallels that emerge when studying structural dynamics across vastly different domains.

Layers of Change is an independent educational resource.

It is not:

  • a university
  • a research institute
  • a healthcare provider
  • an accreditation body
  • a consulting firm
  • a degree-granting institution