Edit your staff profile

Your staff profile is made up of information taken from systems including Pure and Subscribe.  This page explains how to update each section of your profile.

Dr Thea Hincks

Senior Research Fellow

Connect with Thea

Profile photo 
Upload your profile photo in Subscribe (opens in a new tab). Your profile photo in Pure is not linked to your public staff profile. Choose a clear, recent headshot where you are easily recognisable. Your image should be at least 340 by 395 pixels. 

Name 
To change your name or prefix title contact Ask HR (opens in new tab)  If you want to update an academic title you'll need to provide evidence e.g. a PhD certificate. The way your name is displayed is automatic and cannot be changed. You can also update your post-nominal letters in Subscribe (opens in a new tab).

Job title 
Raise a request through ServiceNow (opens in a new tab) to change your job title (40 characters maximum) unless you're on the ERE career pathway. If you're on the ERE path you can not change your main job title, but you can request other minor updates through Ask HR (opens in new tab). If you have more than one post only your main job title will display here, but you can add further posts or roles in other sections of your profile.

Research interests (for researchers only) 
Add up to 5 research interests. The first 3 will appear in your staff profile next to your name. The full list will appear on your research page. Keep these brief and focus on the keywords people may use when searching for your work. Use a different line for each one.

In Pure (opens in a new tab), select ‘Edit profile’. Under the heading 'Curriculum and research description', select 'Add profile information'. In the dropdown menu, select 'Research interests: use separate lines'.

Contact details 
Add or update your email address, telephone number and postal address in Subscribe (opens in a new tab). Use your University email address for your primary email. 

You can link to your Google Scholar, LinkedIn and Twitter accounts through Pure (opens in a new tab). Select ‘Edit profile’.  In the 'Links' section, use the 'Add link' button. 

ORCID ID 
Create or connect your ORCID ID in Pure (opens in a new tab). Select ‘Edit profile’ and then 'Create or Connect your ORCID ID'.

Accepting PhD applicants (for researchers only) 
Choose to show whether you’re currently accepting PhD applicants or not in Pure (opens in a new tab). Select ‘Edit profile’. In the 'Portal details' section, select 'Yes' or 'No' to indicate your choice. 

About

I am interested in statistical and numerical modelling of geologic processes, their interactions, and spatial/temporal variability. I have also worked extensively on probabilistic hazard and risk assessment, expert judgement elicitation and decision making under uncertainty.

A large part of my work involves the use of Bayesian Networks to model and understand conditional dependencies, primarily using UNINET - software developed by TuDelft/LightTwist for performing uncertainty analysis and modelling high dimensional distributions. Core skills include programming and data analysis (mainly R and C++) such as: data mining, Monte Carlo simulation, time series and geospatial analysis (QGIS/GRASS/SAGA GIS). Previously, I have worked on modelling and forecasting tools for volcanic hazard assessment and carried out expert elicitations and statistical analyses for projects funded by the UK NDA, World Bank and DFID.

I am currently working on the FELS Knowledge Exchange and Enterprise funded project "Machine learning to unpick evolving sensitivity to induced seismicity". This extends the work of Hincks et al. (2018, "Oklahoma’s induced seismicity strongly linked to wastewater injection depth") to characterise time lags and temporal variation in susceptibility to induced earthquakes.

From mid-2022, I will commence work on the NERC funded project "GLObal Suspended Sediment (GLOSS): Drivers, trends and future trajectories" (NE/W001233/1) with the School of Geography & Environmental Science at Southampton. Here, I will perform probabilistic modelling and analysis of global remote sensing data, to quantify the strength of influence of multiple environmental and anthropogenic drivers of global sediment flux. The aim is to better understand and predict sediment flux to the ocean (key drivers, interactions and uncertainties), and develop scenarios to quantitatively characterise the impact of future changes in climate and land use.

You can update this in Pure (opens in a new tab). Select ‘Edit profile’. Under the heading and then ‘Curriculum and research description’, select ‘Add profile information’. In the dropdown menu, select - ‘About’.

Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.

You’ll be able to add details about your research, publications, career and academic history to other sections of your staff profile.