Designing algorithms to decode the language of biomolecular structure.
We build structure-aware machine learning methods that process growing datasets of biological structures to uncover the geometric patterns driving function in proteins and RNA, from static structures to conformational dynamics.
Research
Protein Structure & Dynamics
Representing and learning from protein conformational dynamics and 3D structure. Scalable tools for impactful biological prediction tasks.
RNA 3D & Drug Discovery
Representation learning on RNA 3D structures for applications in small-molecule drug discovery and structural motif mining.
Graph Pattern Mining
Approximate network pattern discovery in noisy biological graphs, with applications to pre-training and classification.
Location
Robinson Research BuildingOffice #832 · Lab #836
Nashville, TN
Latest Updates
- May 2026 Invited talk at the DNA to RNA (D2R) Seminar Series, McGill University — Structure-Based Machine Learning for RNA Drug Discovery. [slides]
- May 2026 Invited talk at the Yale BIDS Rising Star Seminar — Taming the Biomolecular Structure Revolution. [slides]
- May 2026 New preprint — ENSEMBITS: an alphabet of protein conformational ensembles. [preprint]
- Oct 2025 Paper on learnable protein structure partitioning accepted at MLSB 2025 Workshop. [preprint]
- Aug 2025 Deep learning tasks on RNA 3D with rnaglib accepted at ICLR AI4NA workshop. [arXiv]
- Jul 2025 Welcome Luka Butskhrikidze — developing software tools for struct-Bio + AI model development.
- May 2025 Welcome Kaiwen Shi — working on diffusion models and protein mining.
- May 2025 Welcome Allen Wang — working on discrete representations of protein structures.
- Mar 2025 RNAmigos2 published in Nature Communications.
- Jan 2025 Lab inauguration.