Training neural network models for parasite detection in blood smear slides

Utilizing deep learning to explore gray and white matter association with cognitive health.

Further developing the predictive power of AlphaFold2 with additional novel techniques and datasets to predict more accurate protein structures.

Explore the spike-ace interaction of SARS-CoV-2 and its variants as well as its non-structural proteins (specifically, Nsp-1).

In collaboration with UofSC's School of Public Health, employ next-generation sequencing (NGS) and comparative genomics to establish novel diagnostic targets and platforms for early spotted fever group rickettsioses (SFGR) diagnosis.

In collaboration with UofSC's School of Public Health, as part of a CDC challenge for 2022, predict West Nile Virus (WNV) neuroinvasive disease cases in US counties during the 2022 calendar year.