Physics Informed Neural Networks
Joshua Davis
Principal Scientist
London
Summary
Accomplished Research Scientist with expertise in advanced machine learning, data analysis, simulation, and optimal control methods. Successfully developed and implemented high-fidelity satellite propagation routines and innovative sensor control algorithms, enhancing performance by up to 40%. Proven ability to lead collaborative research teams, advise government entities on space domain awareness, and drive process improvements. Recognised for a strong track record of fostering partnerships, solving complex scientific problems, and producing accurate, actionable research insights.
Overview
6
6
years of professional experience
Work History
Principal Scientist
Defence Science Technology Laboratory
02.2019 - Current
- Fostered strong relationships with academic and industry partners, driving innovative research that advanced organizational goals.
- Recognized for exceptional problem-solving and creative approaches to complex scientific and technical challenges.
- Spearheaded process improvement initiatives, enhancing team productivity by 40% without compromising quality or timeliness.
- Led cross-functional research teams, achieving successful project outcomes by leveraging deep scientific and technical expertise.
- Developed and implemented novel data analysis methodologies, significantly improving research accuracy and insights.
- Created and utilized advanced deep learning models and sensor algorithms, achieving over 85% accuracy in satellite stability and optimizing sensor data acquisition.
- Worked collaboratively within integrated project teams, ensuring cohesive and efficient workflows.
- Conducted comprehensive document review and quality control for data acquisition, ensuring precise and relevant research conclusions.
- Advised government departments on space domain awareness, optimization techniques, and innovative methodologies.
Data Analyst
Office of National Statistics
06.2018 - 11.2018
- Used novel statistical methods to analyse and visualise trends in Big Data
- Improved decision-making processes with insightful and unique data analysis routines
- Utilised data visualization tools to effectively communicate key insights and performance
Education
Ph.D. - Mathematical Sciences
11.2017
- Thesis Statement: Analysis and dynamics of multiple-spike waves in spiking neural networks
- Spotlight Article in SIAM Review Vol 65 - A connection is made between the waves at the onset of pipe turbulence and the localized traveling waves in spiking neural networks.
Master of Science - Mathematical Medicine And Biology
10.2013
- Degree Awarded with Distinction - 81%
- Application of advanced mathematical techniques to
real-world challenges - Theoretical Neuroscience, Bioinformatics, Epidemiology, Applied Nonlinear Dynamics, Practical Biomedical Modelling and Simulation
Bachelor of Science - Physics
08.2012
- First Class Hons - 82%
- High Achievers Scholarship, 2009
Interests
Neuromorphic Computing
Optimal Control in Non-stationary Adversarial Environments
Spiking Neural Networks
Modern AI for Scientific Research
Skills
Modelling and Simulation
Strategic planning
Problem-Solving
Data Visualisation
Scientific Computing
Optimisation
Accomplishments
- Research on spiking neural networks featured in SIAM Review, linking neural dynamics to turbulence onset
- Advised government departments on space domain awareness and optimisation techniques
- Designed rapid satellite population propagation routines in Julia, achieving 4-5x speed improvement
- Developed deep learning models with 85%+ accuracy for satellite stability prediction using advanced photometric, radar, and auxiliary datasets.
- Created a sensor scheduling algorithm, boosting data acquisition performance by 40%.
Timeline
Principal Scientist - Defence Science Technology Laboratory
02.2019 - Current
Data Analyst - Office of National Statistics
06.2018 - 11.2018
University of Nottingham - Ph.D., Mathematical Sciences
University of Nottingham - Master of Science, Mathematical Medicine And Biology
University of Nottingham - Bachelor of Science, Physics
SciArt: Onset of Turbulence in Excitable Systems
The profile image shows the raw, electric energy of neural signals. This artistic representation isn't just about the beauty of the patterns—it's a realistic glimpse into the brain's incredible ability to process and respond to information. The waves and colors illustrate a living, breathing network, constantly adapting and interacting in a complex dance of connectivity and cognition.