I study membranes, computational oncology, nucleic acids, proteins and dynamics. I spend my time developing the physics-based methods required to understand the interplay between the four so that we can adress fundamental biological questions relating to drug design, intracellular interactions, and a host of related problems. I am a computational biophysicist, and my work includes molecular dynamics simulations, computational methods design, and the development of purely analytical models ranging from diffe
I'm interested in broader health impacts, and I'm currently spending a sabbatical at Johns Hopkins, applying my background in computational statistical mechanics, software design, and data analysis to reduce the suffering and death caused by cancer
I use and develop open-source packages whenever I can, leaning towards PyMOL and Python in particular. I use CHARMM , AMBER , and GROMACS for my simulations and write a lot of Python code for analysis. I wrote and maintain the PyMOL-APBS plugin as well as PyPAT . Recently, I've been putting my code up on github .