Research Associate (Postdoctoral Fellow)
University of Cambridge, UK
Advisor: Professor Robin J. M. Franklin, FRS
Molecular neuroscience · RNA biology · computational biology · functional genomics
I am a molecular neuroscientist, RNA biologist and computational biologist studying how non-coding and retrotransposon-derived RNAs shape gene-regulatory mechanisms in the nervous system, combining computational discovery with experimental validation.
My research spans oligodendrocyte biology, ageing, neurodegeneration, evolution and computational tool development. I explore functional genomics and systems biology approaches. I am increasingly interested in applying deep-learning methods to biological discovery and disease biology.
Academic background
University of Cambridge, UK
Advisor: Professor Robin J. M. Franklin, FRS
INSERM, Sorbonne University, Paris, France
Advisor: Dr Matthias Groszer
Institute of Genomics and Integrative Biology (IGIB), India
Advisors: Professor Beena Pillai and Professor Samir K. Brahmachari
Research vision
I work at the interface of computational and experimental biology to identify regulatory mechanisms that are difficult to see using conventional gene-by-gene approaches. A central theme of my research is that non-coding and retrotransposon-derived RNAs can be functional components of gene-regulatory systems rather than transcriptional noise.
Mechanistic studies of non-coding RNAs and retrotransposon-derived RNAs, including how RNA interacts with transcriptional machinery to control cell fate and differentiation.
Transcriptomics, single-cell analysis, gene-network approaches and data-driven discovery of regulatory switches, followed by experimental validation. I am also developing a growing interest in deep learning as a tool for extracting biological structure from complex datasets.
Using evolutionary analysis to understand the origin of biological mechanisms and asking how their dysregulation contributes to ageing and neurological disease.
Selected work
Discovered a non-coding RNA derived from a retrotransposon of retroviral origin that is essential for transcription of key myelin genes through interaction with the transcription factor SOX10, linking retroviral endogenization to the evolutionary emergence of vertebrate myelin.
View publication →Identified BCL11A as a master regulatory switch in oligodendrocyte lineage progression and showed that restoring its age-related decline can reinstate differentiation capacity in aged oligodendrocyte progenitor cells.
View publication →Discovered a microRNA–cyclin D1 regulatory network that buffers fluctuations in gene expression and helps maintain appropriate progenitor fate decisions during cortical neurogenesis.
View publication →Publications
Software
A biologist-friendly web application for identifying key switch genes across time-dependent, variable-dependent or lineage progression gene-expression data.
Leadership · teaching · engagement
Led project development, computational and experimental strategy, collaborations, and mentoring of junior scientists.
Supervised professional scientists, Master's and undergraduate researchers, and taught computational and biological concepts from PCA to systems robustness.
Research communicated through invited talks, patient engagement, the Multiple Sclerosis Society, media interviews and a BBC Two documentary feature. I also delivered a research talk to People with Parkinson’s (PwPs) through the Edinburgh Research Interest Group (ERIG).
Current direction
My goal is to build an independent research programme that combines RNA biology, computational biology, quantitative genomics and mechanistic experimentation to uncover regulatory principles relevant to nervous-system function, ageing and disease. My growing interest lies in applying deep-learning methods to understand biological complexity and inform RNA-based therapeutics.
Research in the media
The BBC Two documentary series Evolution, presented by Chris Packham, featured its take on my study’s central finding—the retroviral evolutionary origin of myelin.
Interview for the Cell press release accompanying my paper in Cell.
Read the feature →Interview with German public radio Deutschlandfunk about my Cell paper and the evolutionary origin of myelin.
Listen / read →Coverage of the RetroMyelin study and its implications for vertebrate myelin evolution.
Read the article →Entrepreneurial initiative (Translation & innovation)
Retro-AI — an early-stage initiative exploring AI-enabled discovery of regulatory RNAs and RNA-based therapeutic opportunities in neurodegenerative disease.
Professional memberships
Elected Fellow.
Elected Member.
Contact
Cambridge, United Kingdom