Dr. Zhu earned his Ph.D. in Computational Chemistry from the University of Amsterdam, where he was a Marie-Curie Early Stage Researcher studying the mechanism of allosteric protein receptors via molecular simulation. He then worked as a Postdoctoral Fellow at The Hong Kong University of Science and Technology, with a focus on the integration of enhanced sampling methods with the framework of Markov State Models.
Dr. Zhu’s current research focuses on RNA-protein interactions, the mechanism of RNA/DNA interference, gene-editing, the development of automated path-searching methods, and the integration of machine learning into enhanced sampling techniques.
Research Keywords & Expertise
RNA interference
Gene editing
enhanced sampling
Generative Modeling
Path searching
Markov state models
Membrane receptor drug...
Fingerprints
23%
Markov state models
16%
Path searching
5%
RNA interference
5%
Gene editing
5%
enhanced sampling
Short Biography
Dr. Zhu earned his Ph.D. in Computational Chemistry from the University of Amsterdam, where he was a Marie-Curie Early Stage Researcher studying the mechanism of allosteric protein receptors via molecular simulation. He then worked as a Postdoctoral Fellow at The Hong Kong University of Science and Technology, with a focus on the integration of enhanced sampling methods with the framework of Markov State Models.
Dr. Zhu’s current research focuses on RNA-protein interactions, the mechanism of RNA/DNA interference, gene-editing, the development of automated path-searching methods, and the integration of machine learning into enhanced sampling techniques.