
Dr Isaac Chenchiah
B.Tech. (IIT Madras), M.S. (Caltech), Ph.D. (Caltech)
Expertise
My expertise lies at the interface between mathematics on one hand, and solid mechanics, structural mechanics and biology on the other hand. Current projects include morphing structures, wound healing and electroreception in bees.
Current positions
Associate Professor
School of Mathematics
Contact
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Biography
After completing my undergraduate education at the Indian Institute of Technology Madras (India), I received a PhD from the California Institute of Technology (USA) and was a postdoctoral associate at the Max Planck Institute for Mathematics in the Sciences (Germany).
In addition to interests in mathematics, engineering and science, in my leisure time, I enjoy reading about ancient Greek Philosophy and Western medieval thought, especially Thomas Aquinas.
Research interests
My research lies at the interface of applied mathematics, science and engineering. I integrate mathematical tools (from PDEs, calculus of variations and multiscale methods) with physical theories (including solid and structural mechanics and soft matter physics) and biological and biochemical experiments to analyse natural phenomena and advance engineering design. I have a sustained record of cross-disciplinary collaboration with engineers, physicists, biologists and biochemists. I lead an active research group focused on the mechanics of complex solids, adaptive structures, and tissue and sensory biology.
In solid mechanics, I have worked on multiphase solids, including microstructure formation and evolution in superalloys, as well as damage and morphoelasticity.
My work on adaptive structures follows two central themes: Translating macromolecular behaviour to continuum scale, and designing bespoke architectured materials.
I have pioneered the mathematical modelling of aerial electroreception, a sensory modality that enables arthropods to detect ecologically relevant electric fields. This work, which has laid the groundwork for an electromechanical explanation of this recently discovered ability, was initially funded by a £0.8M grant from the Biotechnology and Biological Sciences Research Council (BBSRC). Other areas of interest in mathematical biology include plant mechanics and wound healing in epithelial tissues.
Projects and supervisions
Research projects
Anisotropy from residual stress
Principal Investigator
Managing organisational unit
School of MathematicsDates
01/11/2024 to 31/10/2026
Thesis supervisions
Publications
Selected publications
29/07/2025Electroreception in treehoppers
Proceedings of the National Academy of Sciences
Deep learning reveals a damage signalling hierarchy that coordinates different cell behaviours driving wound re-epithelialisation
Development (Cambridge)
Bespoke two-dimensional elasticity and the nonlinear analogue of Cauchy’s relations
mathematics and mechanics of solids
Recent publications
15/07/2025A nonlinear unit cell for adaptive lattice structures with shape-memory-like behaviour
International Journal of Solids and Structures
Electroreception in treehoppers
Proceedings of the National Academy of Sciences
AI reveals a damage signalling hierarchy that coordinates different cell behaviours driving wound re-epithelialisation
Adaptive stiffness in lattice metastructures through tensile-buckling inspired topology morphing
International Journal of Solids and Structures
Deep learning for rapid analysis of cell divisions in vivo during epithelial morphogenesis and repair
eLife
Teaching
With over twenty years of teaching experience at the University of Bristol, my expertise spans instruction for undergraduate, master’s, and doctoral students. In addition, I have given invited guest lectures to school students.
I have been consistently voted among the top teachers at the School of Mathematics, and previously received a teaching award from the Graduate Student Council at the California Institute of Technology.
Subjects I have taught include Analysis, Calculus of Variations, Complex Analysis, Dynamical Systems, Lagrangian Mechanics, Linear Algebra, Multivariable Calculus and Partial Differential Equations.




