NHS-R Online Speaker Conference 2022 – 8th November 2022

NHS-R Online Speaker Conference 2022

Day 1: Tuesday 8th November 2022

Please see the Itinerary and speakers below.

Please see NHS-R Conference 2022 to register for further events/dates.

Event Speakers

Dev Sanghera

Advanced Analyst, Nottingham University Hospitals

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Ina Kostakis

Senior Research Analyst, Portsmouth Hospitals University Trust

Dr Ina Kostakis is a Senior Research Analyst with the Research & Innovation department of Portsmouth Hospitals University NHS Trust. She joined the Trust in August 2022, following a post-doc at the Centre for Healthcare Modelling and Informatics at the University of Portsmouth where she used routinely collected clinical data to model outcomes for patients admitted to hospital. Her research interest is in advancing the use of data analytics to better understand and improve outcomes for surgical patients. She has been a convicted R user for over 3 years and is a member and organiser of the PortsmouthR User group.

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Joseph Lillington

Data Scientist, Health Economics Unit, Midlands and Lancashire Commissioning Support Unit

I am a data scientist working in the NHS Health Economics Unit (HEU), where I work on a range of interesting healthcare projects. Before joining the HEU I completed my PhD in machine learning and computational modelling from the University of Cambridge.

My talk at this conference will be on demand and capacity modelling of gambling addiction across Great Britain. I’m looking forward to giving this talk.

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Karina-Doris Vihta (accompanied by Nujcharee Haswell)

Postdoctoral Research Assistant in AI for Infectious Diseases, University of Oxford

In the NIHR Healthcare Protection Research Unit programme, her current work focuses on predicting antimicrobial usage and consequent impact on antimicrobial resistance and healthcare-associated infections using machine learning methods.

Previously, as a statistician and machine learning researcher she has also worked on the Office for National Statistics Coronavirus Infection Survey, on different types of surveillance models; and on understanding reported symptoms over time, and which combinations of symptoms are most predictive of Sars-CoV-2 positivity.

With an MMath in Mathematics and Statistics (2015) and a DPhil in Clinical Medicine (2020) funded by an NDM Prize Studentship, University of Oxford, Karina is a truly multidisciplinary researcher. Her doctoral research comprised of using electronic health records to improve management of E. coli bloodstream infections, using traditional epidemiological methods; and predicting antimicrobial resistance in such infections by using machine learning methods and bacterial genome-wide association studies.
She has had a Mathematical Lectureship with Trinity College and Corpus Christi College, teaching the Probability and Statistics courses.

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Nujcharee Haswell (accompanied by Karina-Doris Vihta)

Data Scientist working for Public Health Analysis – UKHSA.

I am based in North Yorkshire. I mostly work with R, Python and PowerBI.
Loved being part of this friendly NHS-R community where I made friends with like-minded R fans.

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Mark McPherson

Data Visualisation Developer, NHS Business Services Authority

Have been with the NHS BSA for a bit more than a year, as a Data Visualisation Developer. I was new to R when starting the role, but had previous experience of programming including with C#, Java, Python and JavaScript. I am from Newcastle, and having lived and worked in places including York, London, Preston and Bournemouth for most of the past 20 years am glad to have returned to the North East again.

I have enjoyed getting to grips with R and I think it may be my favourite programming language now! When I am not coding I enjoy listening to books and playing hard video games (mostly badly).

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Muhammad Faisal

Senior Research Fellow in Biostatistics, University of Bradford

Muhammad Faisal is a Senior Research Fellow in Biostatistics at the University of Bradford. Muhammad is using R for more than fifteen years for the analysis and management of big healthcare datasets. His research expertise lies in the development and external validation of clinical prediction models, working with Big Health Data. Muhammad is also involved in establishing an NHS-R community. He is working on a variety of patient safety and health informatics projects that deal with applied statistical approaches, such as developing computer aided-risk scores for sepsis (CARSS) www.carssresearch.org and is involved with Yorkshire & Humber Patient Safety Research Centre (YHPSTC) https://yhpstrc.org/

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Zoë Turner

Data Scientist, Nottinghamshire Healthcare NHS Foundation Trust

Zoë has worked in analysis roles for over 10 years and is now a Data Scientist at Nottinghamshire Healthcare NHS Foundation Trust working with both R and SQL on a daily basis. She started learning R with the very first courses put on by NHS-R Community and today is a very proud Senior Fellow who enjoys getting others started on their journey by running the Introduction to R and R Studio. When not coding or analysing she’s increasingly interested in data ethics.

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Ben Kimpton


"I have worked with R since the start of 2021 and I have been on a secondment with Hertfordshire Partnership University NHS Foundation Trust (HPFT) since the turn of 2022, an organisation that Hertfordshire County Council works closely with. I am aiding the HPFT Performance Team in adopting automated R processes, whilst encouraging the use of R's full creative capacity, including RMD dashboarding and using R-Shiny.".

Event Type


Event Date

November 8, 2022

Event Time

10:55 am - 1:00 pm

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