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Shujing Shi

PhD student

Areas Of Expertise:

R language, SQL, Data visualisation, Statistical analysis, Data collection, Sensitive data, Research data ethics, Surveys

Shujing (Jing) is a PhD student at the Institute of Criminology. Her primary research interests encompass organised crime, drug market, crime data, and social network analysis. Additionally, she has a diverse range of interests that extend to evidence-based policing, decision-making process, and experimental criminology.

Abdulwahab Alshallal

PhD Student

Areas Of Expertise:

Python, R language, Data visualisation, Big data, Statistical analysis, Research data ethics, Writing/publishing data papers

Contact Information

ORCiD:

Biography

Abdulwahab is a PhD student in Physical Activity Epidemiology, advised by Dr. Soren Brage at the MRC Epidemiology Unit, University of Cambridge. He is a recipient of the Kuwaiti High Science Achiever PhD Scholarship by the Kuwait Foundation for the Advancement of Sciences and the Kuwait Chamber of Commerce and Industry and was previously awarded a full Bachelor's and Master's Scholarship from the Kuwait Ministry of Higher Education. His interests lie in the analysis of accelerometer-measured physical activity data in different populations and related disease endpoints. He previously studied adolescent physical activity behavior in relation to mental well-being. His current research interest is in the analysis of physical activity behavior in the Arabian Gulf in relation to metabolic disease incidence.

Postdoctoral Researcher in Human Genetics

Areas Of Expertise:

Python, Data visualisation, Data Management Plans, Electronic Lab Notebooks, Data collection, R language, Version control, Experimental design, Research data ethics, Data policies, Data storage, Git, General repositories, Data sharing, Code sharing, Open data, FAIR Data, Data archiving, Data preservation, Bioinformatics Website development

Contact Information

ts31@sanger.ac.uk

Biography

I am a postdoctoral researcher working on data and wet lab projects at the Wellcome Sanger Institute. I combine hands-on laboratory work with computational analysis, helping to generate, process, and interpret biological data. My work sits at the interface of experimental biology and data science.

Soniya Gupta-Rawal

PhD Candidate in Marketing (Quantitative)

Areas Of Expertise:

R language, Research data ethics, Writing/publishing data papers, Surveys

Contact Information

ORCiD:

Biography

Soniya Gupta-Rawal is a PhD student in Quantitative Marketing, advised by Professor Jaideep Prabhu at Judge Business School, University of Cambridge. She is a Commonwealth Masters Scholar 2021 and Mitsubishi Scholar 2016. Her interest lies in the empirical analysis of marketing problems at the intersection of business innovation, social impact, and marketing strategy. Soniya's current research focuses on developing the matching algorithm for mentors and nano-entrepreneurs in India by employing machine learning and econometric modelling.

Soniya’s 7+yrs of experience as a researcher in emerging markets fuels her inspiration to contribute to the sustainable business ecosystem as she has held positions as a Researcher at the Department of Strategic Marketing, MICA, India; Research Fellow at the Centre for Advanced Studies in Policy Research; and Research Consultant at Ernst & Young, Global Delivery Service, India. She has interned at Grant Thornton, EY India, Urban Company and Parliament of India. She is constantly learning and developing a comprehensive understanding of the working of markets and individuals at the intersection of the market, social and academic spheres.

Shujing Shi

Contact Information

Biography

Abdulwahab Alshallal

Contact Information

Biography

Postdoctoral Researcher in Human Genetics

Contact Information

Biography

Soniya Gupta-Rawal

Contact Information

Biography

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