Asif Khan

I am a postdoctoral fellow at Harvard Medical School in Prof. Chris Sander’s Lab. My research focuses on developing machine learning and AI algorithms to advance cancer therapy. The emphasis of my work lies on interpretable approaches that can guide clinical decision-making. I am currently working on:

• Incorporating feature selection and uncertainty quantification techniques in deep sequential models to predict cancer risk with greater precision and reliability over time.
• Machine learning approaches to analyse spatial omics data of triple-negative breast cancer to predict the response of patients to chemotherapy.

I have a PhD from the University of Edinburgh, advised by Prof. Amos Storkey in the Bayesian and Neural Systems research group. My doctoral research was at the intersection of geometry and deep representation learning. The machine learning topics that are of particular interest to me:

• Deep representation learning and generative modelling.
• Equivariant neural networks.
• Geometric and topological deep learning.

Please look at my publications for further insights into my work and research.