Xing Liu

I embarked on my career journey in theoretical physics, but my interests veered towards bioinformatics research. In the process, I acquired skills encompassing MD simulation and the associated analysis techniques. I also participated in online courses and training sessions that have equipped me with the proficiency to dissect a wide range of data categories. My experiences have spanned from delving into biological information to mastering image recognition, thereby honing my ability to adeptly analyze diverse data types and extract meaningful insights.

Cosmological implications of modified gravity induced by quantum metric fluctuations

Xing Liu, Tiberiu Harko, Shi-Dong Liang

DOI: 10.1140/epjc/s10052-016-4275-6

We investigate the cosmological implications of modified gravities induced by the quantum fluctuations of the gravitational metric.

IBM Data Science Professional Certificate

IBM AI Engineering Professional Certificate

Deep Learning Specialization

We investigated the key residues to the gating of NMDAR which are ranked by the feature importance of the ensemble of multiple algorithms. A new score connecting the result of machine learning and real word data was defined and deployed. 

Peak Detection with Deep Learning 

Our current endeavor involves the development of a novel deep learning model tailored for the recognition of features within LC-MS data. Subsequently, we intend to rigorously benchmark the performance of this model against established standards and methodologies.