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Resume (English only)
Academic Achievements
- Appointed as a standing member of the NIH BDMA study section in 2025.
- Published multiple papers in Acta Neuropathologica Communications, JAMIA Open, etc., between 2022 and 2023.
- Drug discovery work for SARS-COV-2 and its variants accepted in principle by iScience (Cell publishing group) in August 2022.
- MolSearch paper won the best paper award at the 2022 KDD Health Day in June 2022.
- Received the 2021 Early Career Research Excellence Award at CHM in November 2021.
- First EMR/EHR data mining paper led by Dr. Ke Liu accepted by AMIA 2022 in December 2021.
- AI-based virtual screening R01 received an outstanding score (7 percentile) in November 2021.
- Pipeline applied to find drugs to overcome resistance in melanoma accepted by Molecular Pharmacology, featured on the cover in October 2021.
- Drug repurposing pipeline successfully applied to Alzheimer's disease published in Nature Aging in October 2021.
Research Experience
Closely collaborates with data mining experts, statisticians, bench scientists, medicinal chemists, and physicians to identify new therapeutics.
Background
Research interests include OMICS-based drug discovery, OMICS-based biomarker and target discovery, and virtual platform development to support translational research. The primary data used include bulk/single cell transcriptomics, spatial transcriptomics, and EMR/EHR. In addition to traditional bioinformatics methods, actively developing and implementing new machine learning models such as transfer learning and deep reinforcement learning.
Miscellany
The lab welcomed several interns and researchers; some members advanced or moved on to other institutions.