PhD in Bioinformatics, Scientist in Antibody Development
What is Structural Biology? It is a study of protein structures across the hierarchy, using experimental and computational techniques to recover the structures, hence using biophysics to extract information about their structural-functional relationship.
(more…)A crash course of Statistics – covering Bayesian theories, Generalised Linear model, Markov Chain and its extension: Hidden Markov model and Monte Carlo Markov Chain. Lectures, exercises and practicals are rather intense and require substantial prior experience with statistics and R. However what seem to be able to stay on our minds is the group project that we do. Groups were pre-allocated and luckily, my group has quite a diverse range of expertise and we all complement each other’s skills.
Foreword: In biological system modelling, often we are faced with a (huge) set of differential equations. They describe physical phenomena and are therefore relatively easy to construct and inspect if the system was constructed in the right way. However, solving these are computationally taxing and there is no way to predict the outcome just by looking at the entire set of differential equations. Since being introduced to System Engineering, I have always wanted to use the control theories to simplify these massive (and messy) systems, and thus be able to anticipate and adjust the system behaviour according to the need of the model.