Tissue: Identification of densely packed collagen fibers in Ediacaran fronds using the derived Young's Modulus from dimensional analysis of constitutive relation, FSI simulations and fossil geometries (Proc. B, 2026).
Functional behaviour: CFD Simulations and Dimensional Analysis provides evidence that trilobite queuing served navigation rather than drag reduction (Palaeo3, 2024).
Function: Quantification of the filtering performance of the enigmatic Ediacaran Tribrachidium using coupled CFD–DEM simulations (Paleobiology, 2024b).
My research leverages numerical approaches—such as Computational Fluid Dynamics, Solid Mechanics, and the Discrete Element Method—alongside analytical tools such as Dimensional Analysis to simulate complex fluid–(particle)–structure interactions in ancient organisms, revealing their governing physical factors and scaling laws.
By establishing these quantitative frameworks, we aim to objectively evaluate deformational modes, functional morphology, and biomechanical tissue properties, ultimately offering fresh perspectives on functional evolution, behavioral adaptations, and potential phylogenetic relationships.
Statistical and signal: Establishment of the spectrum-autocorrelation analysis framework (including related metrics such as bandwidth, power spectrum) for cross-scale trajectory analysis, which helps identify the locomotory mode and potential tracemaker affinity (Palaeontology, 2023; Palaeo3, 2026a).
Analytical and theoretical approaches: Establishment of trajectory smoothness (linear smoothness) as an important indicator of body slenderness and muscular coordination independent of substrate condition or behaviour, as well as a novel criterion for ichnotaxonomy (Proc. B, 2025; J. Syst. Palaeontol., 2026).
Simulations: Using coupled CFD-DEM to investigate the formation of different traces (trackways, burrows etc.) under diverse environments, and to unravel the earliest signatures of terrestrial excursions dating back to Cambrian Stage 2 (Proc. B, 2024).
Simulations: Investigate tracemaker sensation and navigation capacity using foraging modelling under different effective sensory ranges (PNAS, 2026; Palaeo3, 2026a).
Simulations: Using VOF-DEM to investigate the formation of various trace fossils such as arthropod trackways under diverse substrate condition or behaviours.
We aim to develop a range of quantitative metrics and methods—including analytical (e.g., linear smoothness), statistical (e.g., spectral and autocorrelation analyses), and numerical (e.g., CFD–DEM simulations and foraging models) approaches—to quantify the morphology and formation of trace fossils.
By combining these approaches with established mechanical theories and dimensional analysis, we ultimately aim to establish quantitative links between trace morphology and the biophysical traits of their tracemakers, including body profile and anatomy, locomotion, sensory capabilities, stereotyped behaviours and etc. This framework will allow us to reconstruct and investigate the evolution of these biophysical traits across key geological transitions (see below).
Body profile: Discovered a strict proportional relationship between the integral scale of trajectory curvature magnitude and the characteristic size of organismal locomotors, revealing a scaling law that unravels the evolution (increase) of minimum body length across the Ediacaran–Cambrian transition (Geology, 2025; Proc. B, 2025).
Sensation and locomotion: Discovery of the linear relationship between the effective sensory range and the persistent homology of trace fossils enables the estimation of sensory distance and organs dating back to the Ediacaran. Bandwidth analysis unveils the evolution of locomotory modes from creeping, muscular waves to appendicular movements (PNAS, 2026; Palaeo3, 2026a).
Ichnotaxa and ecosystem engineering: Specimen-based research on specific trace fossil groups to unravel the evolution of early motile animals and their ecosystem-engineering effects (e.g., Cambrian Psammichnites in Palaeo3, 2026b; Carbonifeous reticular Sinusichnus in Hist. Biol., 2026).
Ichno-statistics and macroevolution: Calibration of the divergence and evolution of behaviours and functional groups in benthic animals across deep and shallow marines using vectorized trace-fossil records from the Ediacaran–Cambrian transition. (Paleobiology, 2024).
Evolution of specific taxa, tissue, or functions (see above, e.g., densely packed collagen fibers in Ediacaran fronds in Proc. B, 2026).
Using newly developed tools alongside established methods in ichnology and computational mechanics, we aim to reconstruct the biophysical traits of early organisms, particularly animals, from the Ediacaran and Proterozoic.
By integrating the fossil record with the biophysical scaling laws derived from these approaches, we seek to uncover key evolutionary pathways in body plan, anatomy, locomotion, behaviour, functional ecology, and early terrestrial excursions of the earliest benthic animals. we also investigate the tissue properties, functional morphology, and potential affinities of diverse enigmatic organisms.
Phase diagram: Spectral and autocorrelation features (e.g., major frequency vs. characteristic scale for autocorrelation) of individual ichnospecies could be integrated into a phase diagram to differentiate trace fossils and their tracemakers. (Gordia as an example, as in Palaeontology, 2023)
Analytical metrics such as linear smoothness can serve as a-priori criteria for trace-fossil classification, providing direct insights into tracemaker body slenderness at both the ichnogenetic and ichnospecific levels. New ichnotaxa are proposed (e.g., Helminthoidichnites irregularis) to accommodate simple horizontal trace fossils lacking such differentiation (J. Syst. Palaeontol., 2026).
The quantitative metrics developed through computational ichnology can provide a robust basis for the classification of trace fossils, particularly for features that are directly linked to tracemaker affinity, locomotory modes, maneuverability, and stereotyped behaviours.
Quantitative ichnotaxonomy could also provide the foundation for future trace-fossil databases and enable high-throughput analyses of ichnological data.
Data standards: Establishment of a protocol for trajectorial data input & output and analysis (Editorial, Ichnos, 2026)
Analytical standards: Establisment of a protocol for the epistemic architecture of palaeontological and ichnological reasoning (Earth-Sci. Rev., 2026)
Ichnological software: A software for trajectorial, and more broadly, ichnological, analysis is under development (Latest version: Version_7).
Establishing rigorous research protocols is fundamental to the development of a robust and prosperous field of computational ichnology. For data aspects in trajectorial analysis, we have addressed key considerations including coordinate extraction, signal selection and sampling frequency, sources of error, convergence of computed data, conservation of units, the identification of stereotyped behaviours such as taxis and kinesis, etc.
For ichnological interpretation and analysis, we emphasize the importance of Clarity, Necessity & Sufficiency, Completeness, Convergence, Boundedness & Normalization (including conservation of units), and Consistency when developing and applying analytical approaches to trace fossil studies, to ensure the Robustness of the results and interpretations.
A free software package, and Matlab, R or Python codes for trajectory analysis are currently under development and will be expanded into a broader suite of computational ichnological tools in the near future.
Professional training: Computational Fluid Dynamics and its application in palaeontological scenarios based upon OpenFOAM.
Natural History Museum (UK)
2025
MRes: Quantitative Ichnology: Numerical and statistical approaches in the study of trace fossil.
Imperial College London (UK)
2023 - on going
Master : G. Wang
Global biogeographic patterns of sphinctozoans across the Permian/Triassic boundary.
University College London; Natural History Museum (UK) [Co-supervisor: Q. Li, I.A. Rahman, etc.]
2025 - 2026
Master: Z. Chen
Quantitative analysis on trace fossils: Application in ichnotaxonomy and metazoan evolution.
Imperial College; Natural History Museum (UK) [Co-supervisor: I.A. Rahman]
2023 - 2024
PhD: J. McDermott
Investigating the evolution of radial symmetry in animals.
University College London; Natural History Museum (UK) [Principle supervisor: I.A. Rahman]
2024 - on going
PhD: E. Wilson
Analysing the evolution of form and function in sand dollars.
University of Southampton; Natural History Museum (UK) [Principle supervisor: J. Thompson]
2024 - on going