Published multiple papers on topics including multimodal cell maps, integrated multi-omic characterizations of the synapse, desmosome mutations impacting melanoma proliferation, somatic mutation explanations for epigenetic aging, and more.
Research Experience
Engaged in research areas such as mapping subcellular networks and structures, visible machine learning for predictive oncology, network biomarkers for cancer and neuropsychiatric disease, and epigenetic aging.
Background
Focused on developing AI-based mechanistic models for cancer and neurodegenerative diseases, aiming to translate patient data into precision diagnosis and treatment.