Postgraduate research

Unravelling Organoid Heterogeneity and Drug Response with a Novel Foundation Model

Qualification: PhD

Department: School of Computing and Mathematical Sciences

Application deadline: 3 August 2025

Start date: 1 October 2025

Overview

EPSRC PhD Industrial Doctoral Landscape Awards (IDLA) studentship 

Supervisors:

Project:

This research program focuses on the development of a foundation model, with an application to organoid models in preclinical and translational drug discovery. Unlike traditional two-dimensional cellular assays, organoid models are translatable, physiologically relevant, and robust. However, they are also inherently heterogeneous, poorly reproducible, and difficult to model and predict. To address these challenges, we will explore the use of modern deep learning-based foundation model that integrates morphological profiling with multi-omics analysis. This approach aims to enhance the utility of organoids in better predicting drug effects, elucidating deeper biological insights and mechanisms of actions (MoAs).

References: 

1.Clevers, H. Modeling Development and Disease with Organoids. Cell 165, 1586-1597 (2016).
2.Tong, L. et al. Patient-derived organoids in precision cancer medicine. Med 5, 1351-1377 (2024).
3.Tong, L. et al. CLANet: A comprehensive framework for cross-batch cell line identification using brightfield images. Medical Image Analysis 94, 103123 (2024).
4.Xing, X. et al. Artificial immunofluorescence in a flash: Rapid synthetic imaging from brightfield through residual diffusion. Neurocomputing 612, 128715 (2025).
5.Caicedo, J.C., Singh, S. & Carpenter, A.E. Applications in image-based profiling of perturbations. Current Opinion in Biotechnology 39, 134-142 (2016).
6.Carreras-Puigvert, J. & Spjuth, O. Artificial intelligence for high content imaging in drug discovery. Current Opinion in Structural Biology 87, 102842 (2024).
7.Bock, C. et al. The Organoid Cell Atlas. Nature Biotechnology 39, 13-17 (2021).
8.Pettini, F., Visibelli, A., Cicaloni, V., Iovinelli, D. & Spiga, O. Multi-Omics Model Applied to Cancer Genetics. Int J Mol Sci 22 (2021).
9.Rood, J.E., Hupalowska, A. & Regev, A. Toward a foundation model of causal cell and tissue biology with a Perturbation Cell and Tissue Atlas. Cell 187, 4520-4545 (2024).
10.Wu, C. et al. in Medical Image Computing and Computer Assisted Intervention – MICCAI 2024. (eds. M.G. Linguraru et al.) 469-479 (Springer Nature Switzerland, Cham; 2024).
11.Betge, J. et al. The drug-induced phenotypic landscape of colorectal cancer organoids. Nature Communications 13, 3135 (2022).
12.https://www.sanger.ac.uk/news_item/100-cancer-organoid-models-developed-sanger-institute-scientists/.
13.Park, T. et al. Development of a deep learning based image processing tool for enhanced organoid analysis. Scientific Reports 13, 19841 (2023).
14.Powell, R.T. et al. deepOrganoid: A brightfield cell viability model for screening matrix-embedded organoids. SLAS Discovery 27, 175-184 (2022).

Funding

Funding

EPSRC PhD Industrial Doctoral Landscape Awards (IDLA) studentship will provide

  • 4 years stipend at UKRI rates. For 2025/6 this will be £20,780 pa
  • 4 years tuition fees. A full overseas fee waiver is available.

Applicants who hold EU Settled or Pre-Settled status or those holding Indefinite Leave to Remain may be eligible for UK fees.  Once you have submitted your application please email pgrapply@leicester.ac.uk with a share code and your application number so that we can verify your status (The share code we need starts with S)

Entry requirements

Entry requirements

Applicants must have or expect to hold at least the equivalent of a UK first or upper second-class degree in a relevant/related subject, or overseas equivalent.

The University of Leicester English language requirements apply.

Informal enquiries

Informal enquiries

Enquires to Professor Huiyu Zhou hz143@leicester.ac.uk

For Admissions queries please contact pgrapply@leicester.ac.uk

How to apply

How to apply

To apply please use the Apply link at the bottom of this page and select September 2025.

With your application, please include:

  • CV 
  • Personal statement explaining your interest in the project, your experience and why we should consider you
  • Degree certificates and transcripts of study already completed and if possible transcript to date of study currently being undertaken
  • Evidence of English language proficiency if applicable
  • In the reference section please enter the contact details of your two academic referees in the boxes provided or upload letters of reference if already available. Referees should not be anyone on the PhD supervisory Team
  • In the funding section please specify Computer Science EPSRC IDLA Zhou
  • In the proposal section please provide the name of the supervisors and project title (a proposal is not required*).

Applications will be considered after the closing date. We will advise you of the outcome by email.

Eligibility

Eligibility

Open to UK and overseas applicants.

Application options

Computer Science PhD Apply now

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