I'm a Postdoc at Emory University, where I'm working with Fang Liu. The challenges I'm interested in researching are at the interface of biophysics and machine learning. Currently, I'm working on a better understanding and representation of the solute-solvent interface. This interface plays an essential role in accurately describing the properties of functional molecules (e.g. drugs, catalysts). Previously I have worked on adaptive sampling of high dimensional spaces such as proteins, where I utilized machine learning, deep learning, and high performance computing.

Postdoctoral Fellow, Emory University Investigating the behavior of the molecule-solvent interface in Fang Liu’s group.
Ph.D., Physics, Rice University Thesis title: Adaptive sampling of Conformational Dynamics Advisor: Cecilia Clementi

Determined optimal adaptive sampling strategies for folding proteins and the upper limit for speed up with adaptive sampling. Developed open-source package ExTASY, a scalable and open-source adaptive sampling platform enabling deep learning: ExTASY. Showed adaptive sampling reaches accurate protein folding and protein dynamics.
Bachelor, Biochemistry, University of Regensburg.
Bachelor, Physics, University of Ilmenau. Thesis title: NMR-spectroscopic Analysis of Interaction between Polycystin-2 and mDia1 Advisor: Hans R. Kalbitzer