Data Champions Search

I provide Bioinformatic support for a few research groups in the Cambridge Stem Cell Institute. For the most part I deal with the analysis of single cell sequencing data, storage management of such data and the deployment of data processing pipelines into HPC environments.

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'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.