James Pang
Research Fellow at Monash University
Greater Melbourne Area Australia
Summary
👤
Senior🎓
Top SchoolJames Pang is a Research Fellow and physicist-neuroscientist with eight years’ experience applying experimental physics, brain imaging and computational methods to questions in neurophysics. He holds a PhD from the University of Sydney and has worked across academia from Monash University and QIMR Berghofer to a visiting stint at Oxford, blending hands-on imaging experiments with Matlab-based data analysis and algorithmic modelling. His background in teaching and competitive mathematics training reflects strong quantitative communication skills and an ability to translate complex theory into practical instruction. Known for rigorous LaTeX documentation and reproducible workflows, he brings both experimental savvy and computational depth to interdisciplinary teams investigating brain function.
8 years of coding experience
1 year of employment as a software developer
International Centre for Theoretical Physics (ICTP)The University of SydneyMaster of Science (M.Sc.), Physics, 1.09/1.00, Master of Science (M.Sc.), Physics, 1.09/1.00 at University of the Philippines
English, Tagalog, Chinese
Github Skills (12)
stochastic8
modeling8
computational-neuroscience8
dynamics7
brain-imaging7
neuroscience7
simulation6
synchronization6
bold2
deconvolution2
convolution1
recovery1
Programming languages (1)
Github contributions (5)
BrainDynamicsUSYD/BrainPalimpsest
Jun 2017 - Nov 2019
Contributions:15 commits, 9 pushes in 2 years 5 months
brain-modelling-group/stochastic-sync
Feb 2020 - Jun 2021
Code supporting 'Stochastic synchronization of dynamics on the human connectome'
Contributions:24 commits, 14 pushes in 1 year 4 months
connectomesynchronizationsimulationstochasticdynamics
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