I study how gene regulatory layers are coordinated as cells commit to
identity in the developing brain: chromatin state, transcription, RNA
processing and protein-level regulation. And how distinct disruptions to
that coordination converge on shared neurodevelopmental vulnerability.
I'm a developmental neurobiologist and postdoctoral fellow in the
Harwell Lab at UCSF.
My work asks how gene regulatory systems are coordinated during brain
development: how chromatin state, transcription, RNA processing and
protein-level regulation act together as cells commit to an identity, rather
than as separate layers studied one at a time.
Before UCSF I completed a PhD at Cardiff University's MRC Centre for
Neuropsychiatric Genetics and Genomics, an MSc in Neuroscience at King's
College London, and a BSc in Biological Sciences at Bournemouth University.
Research
Three questions, one throughline
Three angles on one problem: how regulatory coordination is established,
carried forward through developmental time, and lost.
Coupling
How are regulatory layers functionally coupled?
Cell identity is set by chromatin accessibility, enhancer activity and
transcriptional output behaving as one system rather than in sequence.
I ask how those layers stay coupled, along with RNA processing and
protein-level regulation, through the cell-state transitions of
cortical development.
Inheritance
How are developmental decisions inherited across time?
Progenitor states are transient; their consequences are not. I ask how
early regulatory decisions are propagated through molecular memory
mechanisms to constrain the later maturation of neurons and glia, long
after the state that specified them has resolved.
Convergence
How do distinct perturbations converge on shared pathology?
Genetically distinct perturbations converge on overlapping
neurodevelopmental phenotypes. I ask where those trajectories intersect:
which regulatory disruptions cascade across molecular and cellular scales
to generate shared vulnerability.
Approaches
How I get at them
Four complementary lines of work, from multi-layer measurement through to causal perturbation.
Multi-layer regulatory genomics
Profile chromatin accessibility, factor binding and transcriptional output
from the same developing tissue, so regulatory changes can be compared
directly across layers instead of inferred between experiments.
ATAC-seq
CUT&RUN
ChIP-seq
RNA-seq
long-read
Lineage-resolved fate mapping
Resolve regulatory programs across progenitor and differentiated states,
linking the enhancer repertoire active at each point in a trajectory to the
fates those cells go on to adopt.
trajectory analysis
enhancer repertoires
progenitor profiling
Functional testing
Targeted perturbation of specific regulatory elements to establish
causality, testing whether an element is required for a developmental
transition rather than merely correlated with it.
CRISPR
dCas9
targeted perturbation
Integrative mechanism discovery
Integrate genomic, transcriptomic and proteomic datasets computationally to
recover the regulatory networks that no single assay resolves on its own.
genomics
transcriptomics
proteomics
network inference
Education
Training
2015–2019
PhD, Neuroscience
Cardiff University · MRC Centre for Neuropsychiatric Genetics and Genomics
2014–2015
MSc, Neuroscience (Developmental Neurobiology)
King's College London
Distinction
2011–2014
BSc, Biological Sciences
Bournemouth University
First Class Honours
Publications
Selected peer-reviewed work
2022
Temporal and sequential transcriptional dynamics define lineage shifts in corticogenesis