Data Champions Search

I am a postdoctoral fellow at The Gurdon Institute, University of Cambridge, UK. My research interests are mitochondrial and redox biology, cancer research, tumor suppressors, mitochondrial stress signaling, mitochondrial dynamics, reactive oxygen species, apoptosis, hypoxia, transcriptional cyclins, mitochondrial DNA inheritance, mitochondrial recombination, mitochondrial DNA polymerase gamma, cytochrome c oxidase, germline development, and Drosophila genetics.

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.

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.  

I'm currently a PhD student in phonetics, also previously trained in economics. The commonality of the two fields is that they both rely on the robust analysis of reliable empirical data to reveal patterns of the world. My current research explores speech data to shed light on the cross-linguistic prosodic system. I'm also interested in making speech data openly accessible to facilitate language preservation and phonetic research.