Chris Ho
Doctoral Student at Imperial College London
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolChris Ho is a PhD candidate at Imperial College London researching socioeconomic inequalities in exposure to wildfires across Africa, sponsored by the Leverhulme Centre for Wildfires, Environment and Society. With nine years of experience spanning data science, public health research, and consulting, he brings a blend of machine learning, epidemiology, and large-scale data engineering to complex environmental health problems. His background includes MEng training in machine learning and computer vision from Oxford, applied work on schistosomiasis cohort studies in Uganda, and engineering experience implementing parallel graph algorithms for financial risk at HSBC. Comfortable moving between academic research and practical data-driven policy work, he has a track record of translating technical methods into actionable insights for government and public-sector partners. Notably, his work connects granular population health methods with spatial wildfire exposure modelling, a niche that bridges neglected tropical disease epidemiology and environmental risk science.
9 years of coding experience
2 years of employment as a software developer
Master of Engineering - MEng, Machine Learning & Computer Vision, Master of Engineering - MEng, Machine Learning & Computer Vision at University of Oxford
Github Skills (4)
robust10
signal-processing10
data-analysis8
beam8
Programming languages (1)
Github contributions (2)
chrisxho/hello-world
Feb 2018 - Feb 2018
Contributions:2 PRs, 2 pushes, 3 branches in 1 day
ColdMatter/EDMSuite
Dec 2016 - Oct 2022
Molecular beam experiment control code, and EDM data analysis software.
Contributions:65 commits, 87 pushes, 2 branches in 5 years 11 months
data-analysisbeamexperiment-controlmolecularsoftware-analysis
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