I am a dedicated and highly skilled research scientist with over 6 years of expertise specialising in synthesising insights from complex social science, geological, spatial, and temporal data to solve real-world problems using numerical modeling, data analysis, and data visualisation. I'm currently based in Hong Kong after recently completing my PhD in Applied Data Science (Earth Science) at The University of Hong Kong.
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I have a strong background in identifying requirements, developing data strategies, and managing data science projects through their complete life cycle. I am skilled at model calibration, model and process optimisation (Bayesian, parallel computing, process automation), hyper parameter tuning, and validation against independent datasets in Python. I have proven success in effectively communicating high-quality, data-driven insights to internal and external, technical and non-technical stakeholders. I am eager to apply my data skills with stakeholders across various sectors to tackle complex challenges and contribute to impactful, effective, and tangible solutions. I am available for short-term projects and longer-term engagements. In my pursuit of impactful projects, I prioritise initiatives which:
Benefit a large number of individuals as a result
Maximise the size of the positive effects per person
Have the potential to generate long-term, self-sustaining benefits, ensuring lasting impact and meaningful change.
My PhD research tested progressive mountain uplift as a driver of lateral biodiversification and river reorganisation through modelling multi-million-year-scale interactions between mantle geodynamics, crustal tectonics, topography, fluvial system evolution, and biotic migration and speciation, using the Miocene Himalaya as a case study. I generated, analysed, and visualised spatial, temporal, and geological data to form an understanding of complex Earth system interactions, and evaluated and validated these insights using a wide variety of independent datasets. I have taken multiple projects from idea inception, through successful grant making, totaling ~HK$1.85 million, to communication to a wide variety of audiences via peer-reviewed publications, presentations, and discussions. Funded by the Hong Kong PhD Fellowship Scheme (HKPFS) and the HKU Presidential PhD Scholarship (HKU-PS).
Himalayan River Network Response To Progressive Himalayan UpliftPhD project(2022-present)
Himalayan Biotic Response To Progressive Mountain UpliftPhD project(2020-present)
The Influence of Earth’s Mantle Flow on Himalayan UpliftPhD project(2022-present)
Please note that these projects are currently unpublished and so the associated code is not yet publicly available on my GitHub. The code for these projects will be made publicly available once the projects are published. If you would like further details regarding these projects, including code samples, please contact me at hayley.hunt@hotmail.co.uk.
Identification and diagnosis of a chiller system using data analysis and visualisation, with analysis. Find the project here.Personal project(August 2024)
Web scraping using Selenium of data from the WOWPresents YouTube channel. Data Analysis and visualization of the number of views of different video types, countries, US and All Star seasons, and queens of RuPaul's Drag Race and WowPresents YouTube channels. Find the project here.Personal project(March 2024)
PhD Applied Data Science (Earth Science)The University of Hong Kong.
BSc(Hons) GeologyRoyal Holloway, University of London.
Feel free to contact me for any questions. For open source projects, please open an issue or pull request on Github. Otherwise, send me an email at hayley.hunt@hotmail.co.uk.
I have pledged to donate 10% of my income to organisations that can most effectively use it to improve the lives of others, now and in the years to come through the charity Giving What We Can.