Greg Henderson

Business Analyst

Singapore, Singapore2 yrs experience

Highly Stable

Key Highlights

PhD in Theoretical Physics with a focus on Condensed Matter Physics.
Experience in developing mathematical models and computer simulations.
Strong programming skills in Python and C++.

Stackforce AI infers this person is a skilled researcher in Theoretical Physics with strong programming capabilities.

Contact

Skills

Core Skills

Theoretical PhysicsResearchData AnalysisProgramming

Other Skills

C#C++HaskellLaTeXMATLABMicrosoft ExcelPython

About

I was a quantitative researcher at Graviton Research Capital for 2 years. I completed my PhD in Theoretical Physics in August 2023 with a specialisation in Condensed Matter Physics. Broadly speaking, my research was concerned with understanding the properties of matter at extremely low temperatures and confined to two dimensions (i.e. a very cold and thin piece of material). This involves developing mathematical models to predict said properties and then programming and running large computer simulations to test these predictions. I also have wide interests in mathematics, computer science and machine learning.

Experience

Graviton research capital llp

Quantitative Researcher

Oct 2023 – Oct 2025 · 2 yrs · Singapore · On-site

ResearchPythonC++Theoretical Physics

University of oxford, department of physics

2 roles

Summer Research Student

Jul 2018 – Aug 2018 · 1 mo · Oxford, England, United Kingdom · On-site

8-week summer project on developing a robot to automatically quality test data line tape (for sending information in particle colliders).
More specifically:
Programmed the robot, using C#, to reliably measure nano-amp leakage currents in the presence of significant noise.
Used python to analyze calibration data from the robot, with the goal of improving calibration. Suitable improvements were then added to the calibration process (again using C#).

C#PythonData AnalysisProgramming

Summer Student

Jul 2017 – Aug 2017 · 1 mo · Oxford, England, United Kingdom · On-site

Developed software, written in python, for multi-objective optimisation of the Diamond light source particle accelerator.
More specifically:
Programmed a multi-objective version of simulated annealing and tested it on the machine.
Evaluated the performance of various optimization algorithms in the presence of significant noise in a simulated environment to see which might work best on the actual particle accelerator.
Some information in the publication:
M. Apollonio, R. T. Fielder, I. P. S. Martin, R. Bartolini, G. Henderson and J. Rogers ”Online Multi-Objective Optimisation at Diamond Light Source”, in Proc 9th Int. Particle Accelerator Conf. (IPAC’18), Vancouver, BC, Canada, May 2018, paper WEPAF054.

PythonData AnalysisProgramming