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The goal of my research is to bridge a gap between two research fields, pathology-driven modeling and MRI physics to answer biologic and clinical questions with dedicated MR acquisitions.  I therefore aim to develop novel multi-modal MRI techniques and apply them to a range of clinical questions focusing mostly on women’s health and development.

Short CV:

I got awarded a Sir Henry Wellcome postdoctoral fellowship in 2016 on the topic of functional MR imaging of the placenta in growth restricted foetuses. I work closely with clinicians on a range of studies

Previously, I obtained my BSc and MSc in applied mathematics in Erlangen, Germany and Rennes, France in 2006 and 2011 respectively. After finishing my PhD in Erlangen, Germany in 2014 (non-contrast enhanced MR angiography reconstructions using compressed sensing), I moved to Jo Hajnal’s group at King’s College London in 2014 on the ERC-funded developing Human Connectome Project, mapping emerging brain connectivity by studying 1000 neonates and 500 fetuses.

Awards  & Funding:

  • ISMRM Junior Fellow (2019)
  • Philips Pulse Programming Award (2017)
  • Staedler PhD Prize (2015)
  • Wellcome Trust: Sir Henry Wellcome Fellowship (2016-2020)
  • Wellcome Trust: Open Science Award (2018-2020)
  • JP Moulton Foundation: CeRclarge After Full-dilatation caesarean-secTion (2019-2021)
  • EPSRC-Wellcome Trust: The heart placenta axis (CARP)
  • KHP Challenge Fund: Antenatal assessment of fetal infection utilising advanced MRI protocols (2019-2020)
  • King’s Together “MRI assessment of lung develoment in foetuses” (2018-2020)
  • Academy of Medical Sciences “MRI assessment of the cervix in non- pregnant women at risk of premature birth (2018-2020)

Research Focus:

  • In-utero MRI (fetal, placental MRI)
  • Women’s Health
  • MRI physics
  • Multi-modal functional MRI techniques – Acquisition and Pre-processing

Projects:

Efficient joint quantitative imaging (ZEBRA & PERFOX)

CARP study (Cardiac & Placental imaging Project)

Functional Placental MRI

Developing Human Connectome Project (dHCP)