Nick Jones | Professional activities | Imperial College London

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Professor of Mathematical Sciences

Department of Mathematics - Faculty of Natural Sciences

Orcid identifier0000-0002-4083-972X (opens in a new tab)⁠

Professor of Mathematical Sciences
Department of Mathematics - Faculty of Natural Sciences

nick.jones@imperial.ac.uk (opens in a new tab)

301a, Sir Ernst Chain Building, South Kensington Campus, United Kingdom

Blue Sky (opens in a new tab)⁠
Research (opens in a new tab)⁠
Group Blog explaining our papers (opens in a new tab)⁠
I-X Centre for AI in Science (opens in a new tab)⁠
Twitter (opens in a new tab)⁠
Affiliations – Applied Mathematics and Mathematical Physics (opens in a new tab)⁠
Affiliations – Artificial Intelligence Network (opens in a new tab)⁠
Affiliations – Biomathematics Group (opens in a new tab)⁠
Affiliations – CDT in Chemical Biology: Innovation in Life Sciences (opens in a new tab)⁠
Affiliations – CDT in Chemical Biology: Innovation in Life Sciences - supervisor (opens in a new tab)⁠
Affiliations – Cancer Technology Network (opens in a new tab)⁠
Affiliations – Centre for Cardiac Engineering (opens in a new tab)⁠
Affiliations – EPSRC Centre for Maths of Precision Healthcare (opens in a new tab)⁠
Affiliations – Georgina Mace Centre for the Living Planet (opens in a new tab)⁠
Affiliations – Institute of Chemical Biology (opens in a new tab)⁠
Affiliations – Institute of Chemical Biology affiliates (opens in a new tab)⁠
Affiliations – Mathematics in Medicine (opens in a new tab)⁠
Affiliations – Mathematics of Planet Earth (opens in a new tab)⁠
Affiliations – Mathematics research and teaching staff (opens in a new tab)⁠
Affiliations – Physics of Life (opens in a new tab)⁠
Affiliations – Vaccine Research Network (opens in a new tab)⁠
Affiliations – fabriCELL (opens in a new tab)⁠
BLOG Public Experiment (opens in a new tab)⁠
BLOG article (opens in a new tab)⁠
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BLOG articles (opens in a new tab)⁠
Caladis (opens in a new tab)⁠
Cell competition acts as a purifying selection to eliminate cells with mitochondrial defects during early mouse development (opens in a new tab)⁠
Cell identity and nucleo-mitochondrial genetic context modulate OXPHOS performance and determine somatic heteroplasmy dynamics (opens in a new tab)⁠
Cell lineage-specific mitochondrial resilience during mammalian organogenesis (opens in a new tab)⁠
Characterising soundscapes across diverse ecosystems using a universal acoustic feature-set (opens in a new tab)⁠
Closed-form stochastic solutions for non-equilibrium dynamics and inheritance of cellular components over many cell divisions (opens in a new tab)⁠
Interactive website (opens in a new tab)⁠
Commentary (opens in a new tab)⁠
Commentary, (opens in a new tab)⁠
Community detection in networks without observing edges (opens in a new tab)⁠
Connecting Variability in Global Transcription Rate to Mitochondrial Variability (opens in a new tab)⁠
Designing the optimal bit: balancing energetic cost, speed and reliability (opens in a new tab)⁠
Discovering cellular mitochondrial heteroplasmy heterogeneity with single cell RNA and ATAC sequencing (opens in a new tab)⁠
Document - nhs-digital-privacy-notice.pdf (opens in a new tab)⁠
Dynamic communities in multichannel data (opens in a new tab)⁠
Energetic constraints on fungal growth (opens in a new tab)⁠
Energetic costs of cellular and therapeutic control of stochastic mitochondrial DNA populations (opens in a new tab)⁠
Explicit tracking of uncertainty increases the power of quantitative rule-of-thumb reasoning in cell biology (opens in a new tab)⁠
FRIENDLY regulates mitochondrial distribution, fusion, and quality control in Arabidopsis (opens in a new tab)⁠
Forecasting time-series trends in vaccination coverage and their links with socio-economic factors: A global analysis over 30 years, (opens in a new tab)⁠
Function-valued traits in evolution (opens in a new tab)⁠
Generalized methods and solvers for noise removal from piecewise constant signals. I. Background theory (opens in a new tab)⁠
Generalized methods and solvers for noise removal from piecewise constant signals. II. New Methods (opens in a new tab)⁠
Growth-induced mass flows in fungal networks (opens in a new tab)⁠
arXiv (opens in a new tab)⁠
Highly Comparative Fetal Heart Rate Analysis (opens in a new tab)⁠
Highly Comparative Time-Series Analysis: the empirical structure of time series and their methods (opens in a new tab)⁠
Highly comparative, feature-based, time-series classification (opens in a new tab)⁠
How modular structure can simplify tasks on networks: parameterizing graph optimization by fast local community detection (opens in a new tab)⁠
Inference and influence of network structure using snapshot social behavior without network data (opens in a new tab)⁠
Influencing dynamics on social networks without knowledge of network microstructure (opens in a new tab)⁠
Interconversion of Nonlocal Correlations (opens in a new tab)⁠
Key Distillation and the Secret-Bit Fraction (opens in a new tab)⁠
Large algebraic connectivity fluctuations in spatial network ensembles imply a predictive advantage from node location information (opens in a new tab)⁠
Large-scale genetic analysis reveals mammalian mtDNA heteroplasmy dynamics and variance increase through lifetimes and generations (opens in a new tab)⁠
Looplessness in networks is linked to trophic coherence (opens in a new tab)⁠
Manual (opens in a new tab)⁠
Master-equation analysis of accelerating networks (opens in a new tab)⁠
Mediated Digraphs and Quantum Nonlocality (opens in a new tab)⁠
Mitochondrial DNA Density Homeostasis Accounts for a Threshold Effect in a Cybrid Model of a Human Mitochondrial Disease (opens in a new tab)⁠
Mitochondrial DNA heteroplasmy is modulated during oocyte development propagating mutation transmission (opens in a new tab)⁠
Mitochondrial Variability as a Source of Extrinsic Cellular Noise (opens in a new tab)⁠
Mitochondrial heterogeneity (opens in a new tab)⁠
Mitochondrial heterogeneity, metabolic scaling and cell death (opens in a new tab)⁠
Mitochondrial network state scales mtDNA genetic dynamics (opens in a new tab)⁠
Nature Toolbox examples (opens in a new tab)⁠
Non-autogenerated papers (opens in a new tab)⁠
Parts of Quantum States (opens in a new tab)⁠
Photon Frequency Mode Matching using Acousto-Optic Frequency Beam Splitters (opens in a new tab)⁠
Precision identification of high-risk phenotypes and progression pathways in severe malaria without requiring longitudinal data (opens in a new tab)⁠
Regulation of mother-to-offspring transmission of mtDNA heteroplasmy (opens in a new tab)⁠
Revisiting Date and Party Hubs: Novel Approaches to Role Assignment in Protein Interaction Networks (opens in a new tab)⁠
Robust, real-time and autonomous monitoring of ecosystems with an open, low-cost, networked device (opens in a new tab)⁠
SAFE Acoustics: an open-source, real-time eco-acoustic monitoring network in the tropical rainforests of Borneo (opens in a new tab)⁠
Science article (opens in a new tab)⁠
Signal processing for molecular and cellular biological physics (opens in a new tab)⁠
Soundscapes predict species occurrence in tropical forests (opens in a new tab)⁠
Sparse bayesian step-filtering for high-throughput analysis of molecular machine dynamics (opens in a new tab)⁠
Steps and bumps: precision extraction of discrete states of molecular machines using physically-based, high-throughput time series analysis (opens in a new tab)⁠
Stochastic modelling, Bayesian inference, and new in vivo measurements elucidate the debated mtDNA bottleneck mechanism (opens in a new tab)⁠
Stochastic survival of the densest and mitochondrial DNA clonal expansion in aging. (opens in a new tab)⁠
Taxonomies of Networks from Community Structure (opens in a new tab)⁠
Temporal evolution of financial-market correlations (opens in a new tab)⁠
The Extent of Multi-particle Quantum Non-locality (opens in a new tab)⁠
The Function of Communities in Protein Interaction Networks at Multiple Scales (opens in a new tab)⁠
The homeostatic dynamics of feeding behaviour identify novel mechanisms of anorectic agents (opens in a new tab)⁠
The mitoflash probe cpYFP does not respond to superoxide (opens in a new tab)⁠
Towards Precision Healthcare: Context and Mathematical Challenges (opens in a new tab)⁠
Using the Memories of Multiscale Machines to Characterize Complex Systems (opens in a new tab)⁠
Visualizing, quantifying and manipulating mitochondrial DNA in vivo. (opens in a new tab)⁠
What Evidence is There for the Homology of Protein-Protein Interactions? (opens in a new tab)⁠
What is the function of mitochondrial networks? (opens in a new tab)⁠
What we learn from the learning rate (opens in a new tab)⁠
bioRxiv (opens in a new tab)⁠
catch22: CAnonical Time-series CHaracteristics: Selected through highly comparative time-series analysis (opens in a new tab)⁠
doi:10.1016/j.fbr.2012.02.001 (opens in a new tab)⁠
doi:10.1371/journal.pcbi.1002416 (opens in a new tab)⁠
hctsa: A computational framework for automated time-series phenotyping using massive feature extraction (opens in a new tab)⁠
here (opens in a new tab)⁠
introduction (opens in a new tab)⁠
journal version (opens in a new tab)⁠
letter (opens in a new tab)⁠
mtDNA Segregation in Heteroplasmic Tissues Is Common In Vivo and Modulated by Haplotype Differences and Developmental Stage (opens in a new tab)⁠
non-free weblink (opens in a new tab)⁠
preprint (opens in a new tab)⁠
rest of supplement (opens in a new tab)⁠
social connectivity kernels (opens in a new tab)⁠
super supplement (opens in a new tab)⁠
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AWARD
NETEXPLO Innovation Forum Award
17 Apr 2019
UNESCO

ProfessorNick Jones

PROFESSIONAL ACTIVITIES