Time-Resolved Structural Biology
The emergence of serial crystallography brings many exciting possibilities for structural biology but also brings the challenge of preparing many thousands of sub-micron crystals. To address this, we are working with Ivo Tews and Allen Orville to develop high throughput droplet microfluidic systems. Here volumetric confinement of the phase diagram defines growth limits for producing monodisperse protein crystals. Beyond this, the microfluidic processors can be interfaced with the beam line to enable dynamic structural biology.
My main research interests lie in the area of representation learning;
The long-term goal of my research is to innovate techniques that can allow machines to learn from and understand the information conveyed by data and use that information to fulfil the information needs of humans.
