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Prof Nick Jones
Applications accepted all year round
Competition Funded PhD Project (UK Students Only)
About the Project
PhD Project: Imperial College Mathematics
Student Background: Theoretical Physics, Mathematics/Statistics, Electrical Engineering
We have been investigating variation in cellular power stations (mitochondria) using a mix of ideas from stochastic processes, inference and control theory. You can read more about our recent work in our blog: http://systems-signals.blogspot.co.uk/ We believe this is a particularly exciting area to study for two reasons. Not only does 1) mitochondrial (dys)function have deep connections to conditions like Parkinsons, Diabetes, ageing and Cancer, it is 2) a topic that, though poorly understood, might be susceptible to the very basic (though mathematically nuanced) models that one constructs in theoretical and mathematical physics. The student will investigate the construction of such basic models and make connections with existing data and the work of our national and international collaborators (though the project has experimental collaborators the project will likely not involve experiments by the student). We are looking for enthusiasm, theoretical confidence and scientific intuition.
Further enquiries - contact with a CV detailing academic performance (i.e. including grades/marks or equivalent):
Nick Jones
Iain Johnston
http://www2.imperial.ac.uk/~nsjones/people.htm
Student Background: Theoretical Physics, Mathematics/Statistics, Electrical Engineering
We have been investigating variation in cellular power stations (mitochondria) using a mix of ideas from stochastic processes, inference and control theory. You can read more about our recent work in our blog: http://systems-signals.blogspot.co.uk/ We believe this is a particularly exciting area to study for two reasons. Not only does 1) mitochondrial (dys)function have deep connections to conditions like Parkinsons, Diabetes, ageing and Cancer, it is 2) a topic that, though poorly understood, might be susceptible to the very basic (though mathematically nuanced) models that one constructs in theoretical and mathematical physics. The student will investigate the construction of such basic models and make connections with existing data and the work of our national and international collaborators (though the project has experimental collaborators the project will likely not involve experiments by the student). We are looking for enthusiasm, theoretical confidence and scientific intuition.
Further enquiries - contact with a CV detailing academic performance (i.e. including grades/marks or equivalent):
Nick Jones
Iain Johnston
http://www2.imperial.ac.uk/~nsjones/people.htm
Project supervisors
Career overview
Prof. Nick Jones is a Professor of Mathematical Sciences in the Department of Mathematics at Imperial College London, within the Faculty of Natural Sciences. His research interests encompass a variety of fields, including Biochemistry and Cell Biology, Clinical Sciences, Ecology, Genetics, Evolutionary Biology, Neurosciences, Biological Physics, Applied Statistics, Knowledge Representation and Machine Learning, Signal Processing, and Public Health and Health Services. Prof. Jones has contributed significantly to the understanding of complex biological systems through mathematical modelling and statistical analysis. His work often involves interdisciplinary collaboration, leveraging mathematical techniques to address challenges in biological and health-related contexts. Prof. Jones is also associated with several research groups and initiatives, including the I-X Centre for AI in Science and the EPSRC Centre for Maths of Precision Healthcare, among others.
Research interests
Professor Nick Jones''s research encompasses a wide range of fields including biochemistry and cell biology, clinical sciences, ecology, genetics, evolutionary biology, neurosciences, biological physics, applied statistics, knowledge representation and machine learning, signal processing, public health and health services, and mathematical sciences. His work focuses on the dynamics of mitochondrial DNA, cellular behaviour, and the application of mathematical models to biological systems. He is particularly interested in the stochastic modelling of cellular processes, the influence of network structures on biological functions, and the integration of machine learning techniques in biological research.
