Daniel Henk

Staff

Department of Life Sciences

Dr Daniel Henk

Daniel is interested in understanding how eukaryotic genomes, particularly fungal genomes, respond to simple and complex systems of interactions. Fungi are incredibly diverse, and species often occupy heterogeneous niches that can appear contradictory depending on other conditions (e.g. detrimental or helpful to hosts depending on nutrient availability). The central research seeks to use environmental, genomic and phenotypic data to develop and test models that explain the dispersal, trophic role, and ultimately the limits of fungal genomic flexibility over physiological, ecological and evolutionary time frames.

University of Bath Research Portal

https://researchportal.bath.ac.uk/en/persons/daniel-henk

Second Supervisors

Alessandro Leronni

Department of Mechanical Engineering

Research interests

Continuum modelling of electrochemo-mechanical systems
Finite element implementation of multiphysics frameworks
Smart materials, energy storage, and developmental biology

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Da Chen

Department of Computer Science

Research interests:

Computer vision, deep learning, multimodal learning: general CV/ML tasks in practical scenarios.
Learning with limited data: Learning with imbalanced data, long-tailed data, open-set data, out-of-distribution data, etc; incremental learning, few-shot learning, etc.
Video processing: multimodal learning with video with visual, textual, and audio information.