About
I am a Computational Physicist and Software Developer with experience in academic research (polymers),
high-performance computing (HPC) and financial software.
Skilled in numerous programming languages and simulation techniques, including: C/C++, CUDA (GPUs), MPI, Monte Carlo, field-theoretic simulations & javascript, I also have experience in: Python, PHP, SQL, HTML, CSS and C#.
I am driven by my desire to produce creative and accurate solutions to difficult problems and a need for continual learning.
Never shy of a challenge, I am a qualified boxing coach, have trekked 150km in the Himalayas, fed flying vultures from a paraglider, skydived and bungee-jumped my way around the world.
Skilled in numerous programming languages and simulation techniques, including: C/C++, CUDA (GPUs), MPI, Monte Carlo, field-theoretic simulations & javascript, I also have experience in: Python, PHP, SQL, HTML, CSS and C#.
I am driven by my desire to produce creative and accurate solutions to difficult problems and a need for continual learning.
Never shy of a challenge, I am a qualified boxing coach, have trekked 150km in the Himalayas, fed flying vultures from a paraglider, skydived and bungee-jumped my way around the world.
Education
- PhD Computational Physics. University of Reading, UK.
- MPhys Physics (grade avg.: 93%). University of Reading, UK.
- A-levels: Maths (A), Physics (A), Computing (A).
- AS-levels: Critical Thinking, Psychology.
Recent Work History
Post-Doctoral Research Associate
University of Waterloo, Ontario, Canada.
Professor Mark Matsen group.
Achievements:
- Coding lattice Monte Carlo simulations to investigate diblock copolymer (DBC) melts (2 publications)
- Programming lattice Monte Carlo simulations to study symmetric polymer blends (1 publication)
- Writing lattice Monte Carlo simulations to investigate entropic segregation at polymer surfaces (1 publication)
- Coding Monte Carlo field-theoretic simulations (MC-FTSs) to investigate universality in DBC melts (1 publication)
- Programming a Monte Carlo lattice model where sites can be occupied by multiple particles simultaneously for studying high molecular-weight DBCs (2 publications)
- Writing GPU-accelerated Langevin field-theoretic simulations (L-FTSs) to model DBCs (4 publications)
- Coding a GPU-accelerated L-FTS simulation of DBCs that employs well-tempered metadynamics to detect order-disorder transitions (1 publication)
- Writing a GPU-accelerated L-FTS simulation to study starblock copolymers (1 publication)
- Developing GPU-accelerated complex Langevin field-theoretic simulations (CL-FTS) for comparision to L-FTS (1 publication)
Awards and Certifications
- Microsoft Certified: Azure AI Engineer Associate (2024, ID: 8B837EA707AFC631)
- IBM Applied DevOps Engineering (2024, ID: FCOOJOCN1CPA)
- Red Cross Standard First Aid & CPR/AED Level C (2022, ID: 102656359)
- Fitness & Instructional Leadership Award (2022, University of Waterloo)
- Cowan-Burns prize for highest scoring graduate of physics (University of Reading)
Full Work History
For a full history of my work experience, please visit my LinkedIn page.
Other
- British and Canadian citizenship
- Bass guitar player
- Lover of hiking, camping and the outdoors
- Keen world traveller