I'm a Computer Science (Ph.D) graduate from the Singapore-MIT Alliance programme at the National University of Singapore. I currently work at Efficient Frontier as an algorithms engineer.
In grad school, I did research on algorithms and applications in Structural Computational Biology. My advisors were David Hsu and Tomas Lozano-Perez.
My research focused on algorithms for analysing and organising biological data, mainly protein structures.
Protein Conformational Flexibility
We have developed an efficient algorithm for analyzing conformational changes of a protein, given its structures in two different conformations. Details and publications can be found here. We are currently working on applying this methodology to more varied data sets such as non-identical proteins and MD simulation trajectories.
Characterization of Protein Conformational Space
One of the major problems in Computational Biology today is the prediction of protein structure from protein sequence. All approaches involve a search through the possible protein conformations. This conformation space is considered too large to sample exhaustively by brute force methods, and a number of strategies are used to limit the space. We have proposed a new approach for exploring the clash-free conformation space, which comprises all protein structures whose atoms are not in self-collision. Details can be found here.
I have been a teaching assistant for the following courses:
