Biomedical Informatics and Data Science

Program affiliation
Computational and Systems Biology
Biomedical Informatics and Data Science
Developmental Regenerative and Stem Cell Biology

Research summary

Key words
Bioinformatics, epigenetics

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

Program affiliation
Molecular Genetics and Genomics
Computational and Systems Biology
Biomedical Informatics and Data Science
Neurosciences

Research summary
Understand the molecular mechanisms of neurodegeneration through integrated genomic and network inference approaches.

Key words
computational biology, neurogenomics, transcription regulation, neurodegeneration, Alzheimer’s disease, Parkinson disease