Scientific Computing
Machine learning approaches to understand the development of defects in oxidative phosphorlylation in mitochondrial disease
Deep Learning and Its Applications in Medicine
Artificial Neural Network We have limited understanding of how our brains function, but we know that interplay within the network of neurons is capable of astonishing complex computations. Inspired by our brains in 1943 McCulloch and Pitts came up with computational model of artificial neuron (AN) and artificial neural network (ANN). The general idea being artificial neurons are mathematical functions that receive inputs and produce an output that is a weighted sum of the inputs fed to a switch like function called as an activation function. ... Read more
Motivation for PhD project
Motivation for my PhD in applied data science in medicine Science is about hypotheses supported by evidence and until recently we followed methods restricted to empiricism, theory and simulation. Data science is the fourth paradigm that evolves and advances our scientific enquiries. While data has always been penultimate step in any scientific conclusion, efficient utilisation of that data was either not possible or not realised. Data science is all about maximum utilisation of data to test hypotheses, predict trajectories, extract insights, inform and even automate decision making. ... Read more