- Business and Engagement
- Research Software Development
- Research Data Services
- Research Computing Services
I am responsible for increasing the awareness and uptake of Research IT Services across UCL and its affiliates and enabling sustainable growth to meet demand. I have a BSc in Mathematics and a MBA with my favourite module being ‘Creativity, Innovation and Change’. I have a keen interest in research and developments that will impact the future of our planet and the health and well-being of our children.
I'm responsible for providing advisory, outreach and engagement services across all of RITS, and for coordinating related user training programmes. I have a chemistry and crystallography background with many years of experience supporting national IT services.
I have a PhD in cognitive neuroscience and have previously worked for a radiation protection service. One of the things I really like about being a facilitator is being able to talk to researchers about their work.
I am a research software developer with 12 years' experience as a researcher in computational biology at the University of Oxford. My work has included high performance simulation of cardiac electrophysiology, tool support for models defined using XML-based standards, and web interfaces for model analysis and comparison.
I have been working as a Software Engineer for several years in both industry and academia in projects related to satellite remote sensing and visualisation of geospatial data. I have an MSc in Computer Engineering and further studies in Space Science and Technology.
I've been part of this amazing team since 2016. Before that I was a researcher in Solar Physics and Space Weather at various institutions around the world. I have always been a big advocate of open science (involving open access, open data and open source software) which have taken me to be part of SunPy, an open source project for solar physics; Software Carpentry, a community for teaching good practices in research software development; and Sunspotter a citizen science project.
I am a software engineer with a background in computational biology and bioinformatics. I joined the RSDG in 2017 and focus mostly on projects in the life sciences. You can read more about my work here.
I joined in 2018 to lead the AI Studio, working with our Research Software Development team. I am an applied Computer Scientist with main interest and expertise in developing Machine Learning models for solving various Artificial Intelligence problems such as Natural Language Processing and Image Recognition. Working on AI/ML/NLP applications in both academia and industry, I did my PhD in Statistical Natural Language Processing and worked as a Research Assistant in the University of Sheffield. In industry, I worked as NLP head in a feedback analysis start-up and also Microsoft Bing as a software engineer.
I am a particle physicist by calling, having worked on the ATLAS experiment of CERN's LHC for 5 years. My research focused on background processes to Higgs searches, as well as developing and improving Data Quality Monitoring and detector trigger packages. Immediately before joining the RSDG, I was working in industry as a software engineer for the gas and oil sector, in geophysical exploration data processing.
I joined the team in September 2017 after completing my PhD at the University of Edinburgh. My previous experience includes both research and software support in the fields of formal methods and machine learning, especially applied to stochastic systems and systems biology.
I am a computer scientist with a background in data visualisation. Before joining I worked in university teaching and interdisciplinary research, as well as a short stint in the finance industry.
In 2007, I graduated my PhD in Theoretical Quantum Physics in the field of ultrafast laser-matter interaction. In following, I have joined several European research groups in that area. In 2014, I worked at UCL on a project involving the computation of spin quits embedded in semiconductor environments. I made a 2-years detour in the transport industry, working on large-scale road traffic simulations and human-machine interaction for driverless cars and finally joined RSDG in August 2017.
After originally studying Physics I retrained in Computer Science. I have worked in the telecoms industry, transformed genetic read data and run microsimulation models to predict women's cervical cancer incidence and the effect of screening. I also created a generic microsimulation system called GENESIS. I joined the team in June 2018.
I have a BSc in Computer Science and an MSc in Bioinformatics. Before joining RSDG I worked in population genetics and on a pipeline analysing DNA sequencing data.
After completing my PhD in Physics studying exoplanets with gravitational microlensing, I got a postdoctoral position in Particle Physics as a member of the GERDA collaboration. Before joining the RSDG in January 2019, I worked as software engineer in industry for a company in the defence sector. I am an active supporter of free and open source and open science, and I am co-maintainer of GNU AUCTeX, as well as author of several packages for numerical computing in the Julia programming language.
Before I joined the team in June 2019, I was a Data Analysis Scientist at Diamond Light Source, working on software to automatically process synchrotron diffraction data. Before that I worked as a researcher into atmospheric physics, completing my PhD on palaeoclimatology in 2007 and studying the ionosphere as a PDRA at UCL between 2007 and 2014.
I joined UCL in 2016 having previously worked for many years in research IT at the University of Oxford. My academic background is in the humanities, making me a little unusual in the RITS team. Moving into the digital humanities after completing my doctorate, I have since led several software and service development projects and been involved in research data management planning and support since 2010.
My job requires a jack of all trades approach to get our high end data storage system up and running and help our users to find the best way of using it. I'm generally interested in learning about and generating solutions involving cutting edge technology.
Boris Battistin - Research Infrastructure System Administrator
I joined UCL and the Research Computing Team in early 2018 after a few different international experiences in research environments, the IT sector and a few Engineering companies.
I currently help my team mates running and improving the HPC infrastructure : together we drive the Research forward.
After completing my PhD studying ways to efficiently run molecular dynamics simulations on a distributed computational grid, I spent a brief period writing software for research before joining ISD. I regularly deliver our High Performance Computing course.
I've worked in UCL's central IT service for over 25 years, focusing on user account management and supporting academic applications software. I joined the Research Computing team a couple of years ago where I help staff the Helpdesk, support academic applications like R, Mathematica and Matlab and run software licence managers.
I joined the Research Computing team in 2012 after completing my PhD in computational chemistry (simulation of covalency and complexation in actinides) at UCL. I share responsibility for staffing the Research Computing helpdesk and also help deliver our High Performance Computing training.
I began working for Research Computing Applications and Support as a full time external contractor in 2014 until I was offered a direct position in 2017. I help staff the Research Computing support board, build software applications and am the main contact on our team for the Tier 2 MMM Hub.
Werner van Niekerk - Senior Research Infrastructure Systems Administrator
I ensure the research clusters are available and operational at all times. This includes repairs, monitoring, installations and upgrades. The role comprises a broad mix of hardware and software skills for which my long background in IT Research and Development comes in handy. Keeper of the magic smoke.