Advancing biomolecular design through the integration of chemistry, biology, and computational methods.
Our research focuses on the design of biomolecules for applications in medicine. We are particularly interested in developing new ways to design peptide binders to protein targets, with the goal of expanding how we can precisely control and study biological systems. By improving our ability to engineer molecular recognition, we aim to enable new approaches for therapeutics and biological discovery.
We are also interested in de novo enzyme design, with the long-term goal of creating new catalytic functions that do not exist in nature.
Our work is inherently interdisciplinary and integrates concepts from chemistry, biology, and computation. Our lab combines Organic Synthesis, Biochemistry, and Computational Biology to design next-generation biomolecules for medicine. We welcome students with interests in any of these areas, whether they enjoy hands-on experimental work, studying biological systems, or applying computational tools to solve complex problems.
Overall, our goal is to build a collaborative and inclusive research environment where students can gain diverse skill sets while contributing to projects with meaningful impact in biotechnology and human health.
Our work spans computational design, experimental validation, and the development of next-generation biomolecules.
We develop computational and AI-driven approaches to design peptide binders that selectively interact with biological targets. This enables precise molecular recognition and expands the toolkit for studying and modulating biological systems.
We build and apply screening platforms to rapidly evaluate peptide libraries against diverse targets. These methods allow us to identify high-affinity binders and optimize their performance for therapeutic and research applications.
We design small, stable protein-like molecules from scratch with the ability to bind specific targets. These mini binders offer a compact and efficient alternative to larger biomolecules for diagnostics and therapeutics.
Our work explores the design of molecules that selectively bind to nucleic acids such as RNA and DNA. This opens new possibilities for targeting genetic material in disease contexts and regulating biological processes at the molecular level.
We aim to create entirely new enzymes with catalytic functions not found in nature. By combining computational modeling with experimental validation, we work toward expanding the boundaries of what enzymes can do in medicine and biotechnology.
