Biomedical Informatics and Data Science

Program affiliation
Biomedical Informatics and Data Science
Cancer Biology
Computational and Systems Biology

Research summary
Deep learning; AI; Multi-omics; Translational cancer research; Cancer; Genomics; Imaging

Key words
RNA-seq, WGS, genomics, sequencing, deep learning, machine learning, artificial intelligence, AI, bioinformatics, computational biology, algorithm, multi-omics, cancer, HPV, radiation, PET, MRI, image

Program affiliation
Biomedical Informatics and Data Science
Computational and Systems Biology

Research summary
My research integrates causal modeling and machine learning to improve the reliability of real-world evidence generation and to improve the trustworthiness of AI-based clinical algorithms.

Key words
causal inference, machine learning, artificial intelligence, electronic health records, clinical informatics