Projects & Research

Current Work________________

Parasite Detection

Training neural network models for parasite detection in blood smear slides

Cognitive Health

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

Previous Work_________________

Protein Structure Prediction

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

SARS-CoV-2 and Nsp-1

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

Next-Generation Sequencing

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.

WNV Forecasting

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.