I am a first year PhD student in the Imaging and Modeling Unit supervised by Christophe Zimmer. My PhD project aims to develop deep learning methods for antibacterial drug discovery. Previously, I studied Biomedical Engineering at Imperial College London and I also completed a placement year at The Francis Crick Institute where I developed deep learning tools for volumetric image segmentation and multimodal image registration.
Click to view graph
Connections
Click to view timeline
Timeline
CV
- MEng Biomedical Engineering at Imperial College London (2016 – 2021)
- Placement Year at The Francis Crick Institute (2019 – 2020)
Publications
Download-
2023T cell migration and effector function differences in familial adenomatous polyposis patients with APC gene mutations, Frontiers in Immunology, 2023, 14, pp.1163466. ⟨10.3389/fimmu.2023.1163466⟩.
-
2023Deep learning in image-based phenotypic drug discovery., Trends Cell Biol 2023 Jan; (): .
-
2021Democratising deep learning for microscopy with ZeroCostDL4Mic., Nat Commun 2021 04; 12(1): 2276.
-
2020A Novel Fetal Movement Simulator for the Performance Evaluation of Vibration Sensors for Wearable Fetal Movement Monitors., Sensors (Basel) 2020 Oct; 20(21): .