
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 engineering & 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 undergraduate education at IIT Madras (India), I received a PhD from Caltech (USA) and was a post-doctoral 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 work lies at the interface between mathematics and solid mechanics, mechanical / aerospace engineering and biology.
Specific areas of interest in solid mechanics include microstructure formation and evolution, especially in multiphase solids and superalloys; damage; and polycrystals. Together with aerospace engineers I investigate multistable and morphing structures. Biological topics of interest include viral mechanics, plant mechanics and tissue growth.
Viral mechanics has also inspired my research with engineering collaborators on morphing structures. We have demonstrated a prototype that mimics the helical motor behaviour of Bacteriophage T4 (Pirrera et al., 2013) and are currently working to replicate the inversion observed in volvox embryos. We synthesise biological ideas, mathematical insights and computational innovations (Lamacchia et al, 2015).
Research in collaboration with biologists and geographers attempts to understand root-soil interaction and thereby reduce erosion (De Baets et al., 2017, under review). My work on tissue growth (Chenchiah et al., 2014) deploys methods used in lattice systems to deduce information about fibrous continua directly useful to modellers.
For more information see my research webpage.
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
Recent publications
11/04/2024AI reveals a damage signalling hierarchy that coordinates different cell behaviours driving wound re-epithelialisation
Deep learning for rapid analysis of cell divisions in vivo during epithelial morphogenesis and repair
eLife
Deep learning reveals a damage signalling hierarchy that coordinates different cell behaviours driving wound re-epithelialisation
Development (Cambridge)
Sensing electrical environments: mechanical object reconstruction via electrosensors
Journal of Physics A: Mathematical and Theoretical
An analysis of time-varying dynamics in electrically sensitive arthropod hairs to understand real-world electrical sensing
Journal of the Royal Society Interface
Teaching
Currently, I teach Ordinary Differential Equations (i.e., Dynamical Systems) for second-year mathematics majors. I was voted one of the best teachers in the School of Mathematics every year during 2010-17.
In the past, I have also taught Multivariable Calculus, Complex Analysis, Lagrangian Mechanics and topics in Analysis.