MRC 3-year DTA (Dr. David Dupret)
Microsoft RSE Cloud Computing Fellowship 2018
SSI Software Sustainability Fellow 2018
Member of MRC BNDU Information Security Forum and Data Access Committee
2:1 in Pre-clinical Medical Sciences
Travel Scholarship from Oxford Neuroscience
Studentship from Alberta Innovates Health Solutions
Travel Scholarship from University College
Academic Exhibition from University College
Mozilla Fellow 2018-2019 - I am currently a Mozilla Fellow. I’m primarily working on several aspects of research software. With Spikeforest and Continuous Research I’m applying best practices in software development such as continuous delivery to data-heavy research problems. With Jupyter Span I’m developing an experimental user interface that focusses on Jupyter’s use as an IDE, instead of it’s use of generating reports. And with Back Your Scientific Stack I’m working on ways to make projects that are used by a large number of people more robust and financially sustainable.
Up-to-date links of related work are kept here.
RSE Cloud Computing Fellow 2017-2018 - I have been awarded a fellowship to develop solutions to make it easier for researchers to make use of cloud computing resources. My main project here will be allowing users to perform spike-sorting in the cloud using MountainLab-JS. So far we have added an API so that we can add, remove and interface with pods from a Kubernetes cluster.
SSI Software Sustainability Fellow 2017-2019 - I was awarded a fellowship by the Software Sustainability Institute to continue working on 3 projects: developing the OS and research software module for an Open Science MOOC, continue building a community around using Julia for Neuroscience research (Julia Neuro) and to continue to lead the formation of a Robust Research Initiative in Oxford.
MRC BNDU Information Security and Data Access Committee 2017-Present - I am steering the creation of a Peta-Scale Data Sharing Platform that we are building so that we are able to more effectively share our raw data. I also co-manage the NAS & local compute servers as well as 20+ linux workstations.
Open Source Contributor 2017-Present Alongisde my main projects I contribute bug fixes / features to lots of the software that I use. I also try to maintain a presence on forums such as Stack Overflow where I feel I can be helpful. All of this can be seen on my github.
DPhil in Neuroscience (MRC BNDU, University of Oxford) 2016-2019 - During my first year and half I designed and performed electrophysiological recording experiments in freely behaving mice. During that time, and since, I have been analysing the data from those experiments, as well as supervising the collection of more data and analysing data for other projects in the lab.
During this time I also co-implemented a continuous algorithm-benchmarking application & website with collaborators at the Flatiron Institute which, while still in alpha, handles the application of a diverse range of software to many datasets that are 100s of TB each. I also gained a lot of experience using a wide variety of machine learning approaches, from linear models & bayesian approaches to multilinear tensor models such as MPCA. I applied these to neural data in order to predict behaviour, and interrogated the models’ parameters in order to better understand the underlying neural processes.
FHS Project in Neuroscience (Hotchkiss Brain Institute, Calgary, Canada) - During my undergraduate I was awarded a scholarship to perform a research project in Canada. I investigated the role of the CRH (Corticotropin Release Hormone)-positive neurons in the hypothalamus using immunohistochemistry, optogenetics and behavioural testing.
Zero to Binderhub Kubernetes & Binder Workshop at Sheffield University slides here
Sustainable Development of Research Software Mozilla Science Fellows Presentation at the Siegel Foundation in New York website here and slides here
Feed.Me - Social Media Feed Manipulation for Good Underexposed, Berlin slides here
Continuous Research Mozilla Fellowship Introduction slides here
Continuous Research Lightning Talk at Collborations Workshop write up here
5 Golden Rules for Data Management University of Oxford Training Day slides here
Disentangling neural representations of appetitive and aversive experiences. Poster at FENS Forum of Neuroscience
SSI Software Sustainability Institute Application slides here
Disentangling appetitive and aversive memories with overlapping content spanning multiple brain circuits Poster at the Society for Neuroscience
Detecting neuronal assemblies using patterns of cross-correlations Poster at British Neuroscience Association 2017
Population Coupling in Memory and Reward Processing Circuits Poster at FENS
Confident with & use on a day-to-day basis
Working knowledge of (e.g. often used for collaborative projects):