• Allo-Allo: the first method to predict allosteric sites just from sequence (preprint)
• Kapil Devkota won the Best Postdoc Talk Award at the Cell Biology departmental retreat!
• Miniaturize, modify and re-design your protein: Raygun offers a new paradigm for protein design (preprint)
• Comparing the Y2H and CoIP PPI interactomes (Presented at ICML AccML.bio Workshop, paper)
• Inferring the structural drivers of palmitoylation (preprint)
• Velorama in action: inferring gene regulation in the placenta (preprint)
• We welcome Ned Moseley as a CBB rotation student!
• Velorama now out in Cell Systems. Infer gene regulatory networks from RNA velocity data
• PLM-SWE: preprint with Navid NaderiAlizadeh on optimal transport-based aggregation of variable length protein embeddings
• The first preprint from our Duke lab! Sceodesic exploits the Riemannian manifold of single-cell coexpression

I am an Assistant Professor at Duke Univ, in the Depts of Biostatistics & Bioinformatics, and Cell Biology. I also hold appointments in the Depts of Computer Science and Electrical & Computer Engineering. My research interests broadly lie in the area of computational biology and I'm especially excited about leveraging machine learning to develop precision diagnostics and therapeutics. Towards this, our lab is working to develop methods for diagnosing disease mechanisms, identifying potential drug targets, and designing therapeutic interventions. Among the projects we have ongoing are algorithms for analyzing multimodal single-cell data and inferring regulatory mechanisms. We have also been enamored with the power of protein language models and are using them for predicting protein interactions, drug interactions, and designing antibodies.

Positions available: If you're interested in a postdoc or if you are a Duke undergraduate or graduate student and interested in problems that relate to the topics above, please reach out!