Simon R. Chapple is a highly experienced solution architect and
lead software engineer with more than 25 years of developing
innovative solutions and applications in data analysis and
healthcare informatics. He is also an expert in supercomputer HPC
and big data processing.
Simon is the chief technology officer and a managing partner of
Datalytics Technology Ltd, where he leads a team building the next
generation of a large scale data analysis platform, based on a
customizable set of high performance tools, frameworks, and
systems, which enables the entire life cycle of data processing for
real-time analytics from capture through analysis to presentation,
to be encapsulated for easy deployment into any existing
operational IT environment.
Previously, he was director of Product Innovation at Aridhia
Informatics, where he built a number of novel systems for
healthcare providers in Scotland, including a unified patient
pathway tracking system that utilized ten separate data system
integrations for both 18-weeks Referral To Treatment and cancer
patient management (enabling the provider to deliver best
performance on patient waiting times in Scotland). He also built a
unique real-time chemotherapy patient mobile-based public
cloud-hosted monitoring system undergoing clinical trial in
Australia, which is highly praised by nurses and patients, "its
like having a nurse in your living room... hopefully all chemo
patients will one day know the security and comfort of having an
around-the-clock angel of their own."
Simon is also a coauthor of the ROpenCL open source
package—enabling statistics programs written in R to exploit the
parallel computation within graphics accelerator chips. Eilidh
Troup is an Applications Consultant employed by EPCC at the
University of Edinburgh. She has a degree in Genetics from the
University of Glasgow and she now focuses on making
high-performance computing accessible to a wider range of users, in
particular biologists. Eilidh works on a variety of software
projects, including the Simple Parallel R INTerface (SPRINT) and
the SEEK for Science web-based data repository. Thorsten Forster is
a data science researcher at University of Edinburgh. With a
background in statistics and computer science, he has obtained a
PhD in biomedical sciences and has over 10 years of experience in
this interdisciplinary research.
Conducting research on the data analysis approach to biomedical big
data rooted in statistics and machine learning (such as microarrays
and next-generation sequencing), Thorsten has been a project
manager on the SPRINT project, which is targeted at allowing lay
users to make use of parallelized analysis solutions for large
biological datasets within the R statistical programming language.
He is also a co-founder of Fios Genomics Ltd, a university spun-out
company providing biomedical big data research with data-analytical
services.
Thorsten's current work includes devising a gene transcription
classifier for the diagnosis of bacterial infections in newborn
babies, transcriptional profiling of interferon gamma activation of
macrophages, investigating the role of cholesterol in immune
responses to infections, and investigating the genomic factors that
cause childhood wheezing to progress to asthma.
Thorsten's complete profile is available at
http://tinyurl.com/ThorstenForster-UEDIN. Terence Sloan is a
software development group manager at EPCC, the High Performance
Computing Centre at the University of Edinburgh. He has more than
25 years of experience in managing and participating in data
science and HPC projects with Scottish SMEs, UK corporations, and
European and global collaborations.
Terry, was the co-principal investigator on the Wellcome Trust
(Award no. 086696/Z/08/Z), the BBSRC (Award no. BB/J019283/1), and
the three EPSRC-distributed computational science awards that have
helped develop the SPRINT package for R. He has also held awards
from the ESRC (Award nos. RES-189-25-0066, RES-149-25-0005) that
investigated the use of operational big data for customer behavior
analysis.
Terry is a coordinator for the Data Analytics with HPC, Project
Preparation, and Dissertation courses on the University of
Edinburgh's MSc programme, in HPC with Data Science.
He also plays the drums.
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