2021 cohort

Meet our 2021 cohort.

Raman Dutt

Raman Dutt

Personal webpage

My research interests lie at the intersection of computer vision and medicine. The broader goal of my research is to make AI algorithms more robust, generalizable, and deployable to a real-world setting. More specifically, I am interested in exploring self-supervised learning, domain adaptation and vision transformers for different facets of medical research - radiology, cardiology, assistive-surgery and many more.

Hans-Christof Gasser

The accumulation of big datasets has the potential to help us improve our understanding of complex processes that are inaccessible to our intuition. Explainable AI techniques can help transform model predictions into insights. My research interest lies particularly in the application of these to a task in immunology – peptide presentation by MHC proteins.

Sebestyén Kamp

Sebestyen Kamp

Personal profile

Having worked in the pharmaceutical industry, my interests lie at the intersection of AI techniques, bioinformatics methods, and modern drug design. Specifically, I am eager to look into ongoing challenges in cancer drug development to ensure more effective treatments and discover more biologically relevant targets.

Charlotte Merzbacher

Charlotte Merzbacher

Personal webpage

I am interested in using machine learning to optimize pharmaceutical-producing gene circuits and control architectures. I am also interested in using network science to understand bacterial genetics.

Dominic Phillips

Dominic Phillips

My research interest is the incorporation of machine learning tools into molecular dynamics simulations to accelerate drug discovery. I work on improving underlying methods and applying them to applications of specific interest, such as drug development to combat antimicrobial resistance.

Ben Philps

Ben Philps

My research interests currently lie in the development of new machine learning tools to better take advantage of the spatio-temporal dynamics and multi-modality of biomedical data, and how such models can be used to assist patient treatment decisions.

 

Barry Ryan

Barry Ryan

My research interests are focused on the application of Machine Learning (ML) techniques to improve patient healthcare outcomes. With increased data availability and disease specific research I believe there is the opportunity to tailor and optimise patient treatment plan using ML.

Fiona Smith

Fiona Smith

My research interests lie in the use of machine learning methods to evaluate surgical outcomes, particularly for patients that have had cleft lip and palate repair or plastic reconstructive surgery.

Aleksandra Sobieska

Aleksandra Sobieska

My research interests mainly lie in developing models to better understand disease mechanisms from the perspective of systems biology. I would like to combine biophysical theory with machine learning to discover new insights in the field.

Xiao Yang

Xiao Yang

I am interested in the origin and development of how biomedicine involves AI and an ethnographic examination of a related laboratory.

Yongshuo Zong

Yongshuo Zong

My current interest focuses on exporing multi-modal biological data with machine learning. I'm also interested in biomedical imaging analysis with self/unsupervised learning methods.