1 September 2020

Insigneo Summer Research Programme Posters 2020

The Insigneo Summer Research Programme 2020 took place remotely from June to September. We hosted placements for 13 University of Sheffield undergraduates to undertake a research project within the Institute on a topic related to in silico medicine.

Under normal circumstances, our placement students would have the opportunity to display a poster at the Insigneo General Assembly. As this event is taking place online this year we are very proud to present their hard work on our website.

Regional effects of bone anabolic treatments on cortical bone porosities in a mouse model of osteoporosis

Supervisor: Bryant Roberts

Placement student: Elisabeth Millard

Download poster (PDF, 1.21MB)

"Hi, I’m Lizzie. I am a fourth-year Bioengineering student (MEng) at the University of Sheffield, where I have developed skills and understanding in subjects such as computational science, molecular biology, and medical devices.

"I was particularly interested in the INSIGNEO placement looking at the effects of treatment on a mouse model of osteoporosis because I have had the opportunity to study osteoporosis and current treatments.

“Furthermore, being able to further develop my knowledge and computational skills whilst being able to contribute to research was an experience that I did not want to miss.

"To analyse the effects of anabolic treatments on cortical bone I had to pre-process the images and extend upon an image-processing pipeline in CTanalyser. I then modelled the processed images using Amira and carried out statistical analysis using GraphPad.

"I am very thankful for the opportunity to work with researchers at the top of their field and gain an insight into the forefront of in silico medicine.”

Elastic-elastic contact in voxel models

Supervisor: Frederik Trommer

Placement student: Elliott Morley

Download poster (PDF, 479KB)

"I’m Elliot Morley, and I’m moving into my third year of Mechanical Engineering with Biomechanics.

“I wanted to take part in the INSIGNEO placement scheme to contribute to the creation of the “Digital Patient”, a concept that is currently revolutionising how medicine is delivered.

“My specific project involved working with the fundamentals of finite element analysis, and creating a novel algorithm that would allow us to model the skeleton of a patient more accurately.

“I was able to get a glimpse of how deep computational mechanics and computational medicine really are, and how inter-disciplinary medicine will become, and would recommend the experience to everyone.”

Statistical shape model-based subject-specific musculoskeletal modelling: effect on model and biomechanical gait parameters

Supervisor: Claude Hayford

Placement student: Danielle Hudson

Download poster (PDF, 360KB)

“I am studying MEng Bioengineering and have just started my fourth year. I applied for this placement as I wanted to experience working in a medical research environment.

"Throughout this project I have gained new skills in both software and communication and also had the opportunity to challenge myself and work in an area which I may otherwise not have experienced.”

Optimisation of two-drug chemotherapy for neuroblastoma using a genetic algorithm

Supervisor: Kenneth Wertheim

Placement Student: Abigail Barlow

Download poster (PDF, 365KB)

"I completed my integrated masters degree in mathematics (MMath) at the university this July. I have just started an integrated PhD at the University of Bath studying statistical and applied mathematics.

"I chose to undertake this placement to gain further research experience and especially to improve my programming skills, in addition to exploring a new and interesting research area to me.

“This placement greatly improved my ability to program in Python, as well as my ability to use biological and computational research papers.”

Dr Kenneth Y. Wertheim

Dr Kenneth Y. Wertheim is a systems theorist. His research style is marked by the integration of diverse modelling and simulation techniques.

He is currently a part of PRIMAGE, a Horizon 2020 project aiming to build an open cloud-based platform to support decision-making in the clinical management of solid tumours.

Prior to joining Insigneo, he was a research associate at the University of Nebraska–Lincoln, where he led the virtual immune system project.

He earned his MEng, MS, and PhD degrees at Imperial College London, Columbia University, and the University of Southampton respectively.

As a PhD candidate, he proposed a theory explaining how VEGFC regulates lymphatic system development.

Mobility characterisation using wearable inertial sensors

Supervisor: Tecla Bonci

Placement student: Megan Kendall

Download poster (PDF, 367KB)

“I’m Megan and I’m a fourth year Mechanical Engineering student at the University of Sheffield.

“I was keen to do this placement to gain insight into how engineers can contribute to the field of healthcare, and use my understanding of the importance of mobility, developed through working as an Elderly Care Exercise Instructor.

“The placement was a great opportunity to see the transferability of the skills I have developed over the first three years of my degree, and to challenge myself to develop them further.”

Tecla Bonci

Tecla Bonci is a biomedical engineer working as research associate in the Mobilise-D project at the University of Sheffield since April 2019.

Sensitivity analysis of 1D vascular models

Supervisor: Ivan Benemerito

Placement student: Benjamin Jordan

Download poster (PDF, 478KB)

“I am currently in my final year of an MEng in Mechanical Engineering with a Year in Industry.

"My main reason for wanting to complete this placement was to learn more about an area of research which I was interested in, blood flow in the human body, and particularly how the flow and vessel properties are approximated in a 1D model.

"It also gave me an opportunity to develop my coding skills in a large range of languages.”

Ivan Benemerito

Dr Benemerito obtained a PhD in Biomechanics from the University of Sheffield in 2018, where he is currently working as a postdoctoral research associate.

Acquisition and processing of planar x-ray images of an anthropomorphic phantom to inform development of a VR x-ray simulation

Supervisor: David Randall

Placement student: Benjamin Campion

Download poster (PDF, 601KB)

“I’m in my third year of a MEng in Bioengineering – specialising in Biomaterials and Tissue Engineering.

“I applied for this placement as it provided an excellent opportunity to work on a medical physics project, a topic that I am particularly interested in. I was also intrigued by the simulation aspects and the opportunity to continue developing my programming skills.

“I have gained an in depth appreciation of x-ray physics and am now far more proficient in coding, both of which will serve me well during my degree and beyond.”

David Randall

“I completed an MPhys in 2008 and subsequently trained as a clinical scientist at Sheffield Teaching Hospitals, qualifying in 2013.

"I undertook a PhD in the same year at the University of Sheffield which included exploring the potential of virtual reality technology as a tool to visualise large multidimensional datasets. It soon became apparent that VR had potential to be applied more widely and this has been my main area of research since.

“I have recently combined my clinical and academic careers with two part-time positions, in Medical Physics in the NHS and as a post-doctoral researcher at the University of Sheffield.

“This Insigneo project has straddled both my jobs and helped fulfil one of my roles to bring more research activity to my NHS department.”

Context-aware clustering of temporal event sequences

Supervisor: Jessica G Magallanes Castaneda

Placement student: Suraj Tailor

Download poster (PDF, 324KB)

“Hi, I’m Suraj, a third and final year Mechanical Engineering student. My motive for undertaking the placement was down to my strong interest in data mining, and the opportunity to contribute something novel to the field.

“I found the project had a great balance between getting lost in papers pertaining to the latest developments in clustering, and applying that research to a clear problem found in the healthcare industry.

“Owing to the placement, I have vastly improved my ability to validate ideas, think creatively and communicate effectively – especially due to the pandemic. It has also encouraged me to pursue more research opportunities related to this topic in the future.”

Jessica G Magallanes Castaneda

Jessica Magallanes is a PhD student in the department of Computer Science at the University of Sheffield. Her research is on visual analytics of temporal event data.

She is currently working as a part-time researcher in a project with the Sheffield Teaching Hospitals, PathAnalyse, to analyse and obtain insights from patient flow data.

The influence of age and parathyroid hormone (PTH) treatment on osteoporotic mice tibia

Supervisor: Vee Cheong

Placement Student: Yameng Deng

Download poster (PDF, 756KB)

Computational modelling of immune cell behaviour in inflammatory events

Supervisor: Anastasiia Kadochnikova

Placement student: Katherine Doyle

Download poster (PDF, 752KB)

For more information about the programme, contact Professor Richard Clayton, Director of Training.

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