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reednaidoo/README.md

LinkedIn Sentinal4D ICR

👋 About Me

I'm a PhD student at the Institute of Cancer Research, supervised by Professor Chris Bakal, and a Research Scientist at Sentinal4D — a London-based AI startup building next-generation 3D cell modelling technology.

My work sits at the intersection of machine learning, computational biology, and biophysics — using generative AI and computer vision to decode how cancer cells look, move, and respond to drugs in 3D.

My PhD is funded by the NIHR BRC Studentship award.

🔬 Research Interests

Generative Modelling for 3D Cell Morphology
Self-Supervised Representation Learning · Microscopy Foundation Models
Drug Perturbation Modelling · Schrödinger Bridges · Diffusion Models

🤝 Let's Collaborate

I'm always open to connecting with researchers, engineers, and builders working at the edges of AI and biology.

📬 Reach out via LinkedIn or open an issue — let's build something.

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  1. SurvivMIL_COMPAYL SurvivMIL_COMPAYL Public

    SurvivMIL: A multimodal, Multiple Instance Learning pipeline for survival outcome of Neuroblastoma Patients

    Python 6 2

  2. CL-SegFormer CL-SegFormer Public

    Retraining a SegFormer with a branch that generates query and key embeddings from intermediate hierarchical feature map logits. This is done so that a contrastive learning task can be performed alo…

    Jupyter Notebook

  3. MCMC MCMC Public

    Markov Chain Monte Carlo used for posterior probability distribution prediction. Under the Bayesian paradigm, two algorithmic updating approaches are explored - one in which we know the parameters …

    Jupyter Notebook 4