About me
As a computational biologist, I am dedicated to unraveling the intricate connections between biological and environmental factors in the genesis of complex diseases. My research focuses on the development of innovative statistical and probabilistic machine learning models tailored for single-cell data analysis and data integration. By harnessing the power of these cutting-edge techniques, I aim to shed light on the underlying mechanisms of disease and pave the way for more targeted and effective therapeutic strategies.
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Computational Biology
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Coding
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Machine Learning
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Neurodegenerative Diseases
Supervisors
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Dr Miguel Martins
The aim of Miguel's research programme is understanding the cellular and molecular mechanisms that mitochondria use, as signaling hubs, for coping with toxic insults. Martins' Group
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Prof Manolis Kellis
Our group at MIT aims to further our understanding of the human genome by computational integration of large-scale functional and comparative genomics datasets. Kellis' Group
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Dr Mo Loftollahi
My team and I seek to leverage artificial intelligence (AI) and machine learning (ML) models to capture the real-world behaviour of all the cells within individual human organs. Loftollahi's Group
