Data Champions Search

Curtis Sharma, PhD – Data Champion Programme Lead

Research Data Coordinator

Office of Scholarly Communication

Areas Of Expertise:

R language, Statistical analysis, Research data management, Data Management Plans, Training and outreach, Sharing and storage Sensitive data, Data engineering

Contact Information

cjms2@cam.ac.uk

@CurtisJMSharma

My LinkedIn Profile

ORCiD:

https://orcid.org/0000-0002-3375-0604

Jiri Benacek

Research Assistant

Chemical Engineering and Biotechnology

Areas Of Expertise:

Python, Matlab, Data visualisation, Big data, Machine learning, Statistical analysis, Experimental design, Sensitive data, Research data ethics, Data protection and research

My background is neuropsychology, and later, computational neuroscience. During my studies, I developed strong skills in applied data science and machine learning, as well as fundamental knowledge of neural computation. Currently, I am based in the Cambridge Centre for Neuropsychiatric Research, where our team is working on biomarker discovery for neuropsychiatric disorders, as well as on developing algorithms for more data-informed diagnostics in mental healthcare.

Paola Finoia, PhD

Research Associate

Department of Anaesthesia

Areas Of Expertise:

Git, Matlab, Visual Basic, Data visualisation, Statistical analysis, Data Management Plans, Data collection, Database design, Experimental design, Sensitive data, Research data ethics, Data protection and research, Data policies, Imaging, Textual data

Contact Information

pf260@cam.ac.uk

My LinkedIn Profile

Biography

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.

Rina Lai

PhD student

Faculty of Education

Areas Of Expertise:

Data sharing policies, Sensitive data, Code sharing, Data analysis, Open Access publication, R language, Data visualisation, Statistical analysis, Data Management Plans, Data collection, Experimental design, Research data ethics, Data protection and research, Open data, Writing/publishing data papers, Surveys

Contact Information

ORCiD:

Biography

My research lies at the intersection of psychology, education, and computer science. I am interested in the philosophical underpinnings of different statistical paradigms and reproducible science. I was previously trained in Bayesian cognitive modeling at the JAGS and WinBUGS workshop (by Prof. Michael Lee and Prof. Eric-Jan Wagenmakers) and Bayesian item response modeling at the University of Twente (by Prof. Jean-Paul Fox).

Curtis Sharma, PhD – Data Champion Programme Lead

Contact Information

Jiri Benacek

Contact Information

Biography

Paola Finoia, PhD

Contact Information

Biography

Rina Lai

Contact Information

Biography

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