Work Experience

Developing deep learning models for single-cell multiomics data

Developing novel phylogenetic methods for single-cell multiomics data

Developing massive scale data processing pipelines for single-cell multiomics data

Developing high-volume genomic data processing pipelines (WGS/ATAC/RNA-seq)

Identifying novel germline genetic markers for improved melanoma prognosis prediction

Integrating various data types to identify complex genetic signatures and markers for immunotherapy response

Bioinformaitcs and data analysis

CRISPR/Cas9 genome editing

Superresolution microscopy

Held office hour in biochemistry

Prepared and graded exams and quizzes

Supervised laboratory experiments

Held office hour in organic chemistry and biochemistry

Prepared and graded exams and quizzes

Supervised laboratory experiments