Data Champions Search

I am a post-doctoral physicist working in the Department of Radiology, with a background in programming and a particular interest in medical image analysis and software design. I am currently involved in setting up and maintenance of processes for data storage, sharing and archiving for the department - with particular emphasis on medical research image data.
 

I’ve been working in the Department of Psychiatry for almost a decade now. I specialise in improving process and workflow and in research data management. I also work in branding, digital recruitment, website design and administration, social media management, and data architecture. I am particularly good at thinking of new and creative solutions to emerging problems. I am currently working on ways to govern and organise the many research projects within my department and in the School of Clinical Medicine, and on creating ways to share research and imaging data (MRI, PET etc) openly.  

My current work combines neurobehavioral observation, fMRI and EEG in patients with Disorders of Consciousness. In particular, my research investigates which factors might predict patient performance, which technique (or combination of techniques), might be most sensitive in detecting residual conscious awareness, and which pattern of performance best classifies conscious state. 
I am also interested in the role of attentional mechanisms in conscious perception; specifically, I have been studying which temporal and spatial factors influence divided attention when stimuli in different sensory modalities compete for conscious access, leading to integration or interference. 
I strongly believe in the importance of open access and data sharing. I joined the Data Champions initiative at the University of Cambridge, aiming to increase awareness of the importance and benefits of sharing data, and to providing support within my department on how to share data through the university repository.

Additional areas of expertise:

Attentional cognitive processes, disorder of consciousness.

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.