6/17/2025
Machine Learning/AI for Biomedical Applications: Development of innovative advanced machine learning approaches including knowledge-guided meta-learning explainable machine learning frameworks that take advantage of the relationships between genes, cell types, clinical variables,…
8/28/2025
6/17/2025
Drug Development Targeting Transcription Drivers in Cancer Dysregulation of gene expression is a hallmark of all cancers. It is critical for self-renewal and chemo-resistance of cancer cells which contributes to…
7/24/2026
Our research develops computational and bioinformatics approaches to understand human genome variation and its role in health and disease. We focus on long-read sequencing, structural variation, genome assembly, and pangenomics,…
3/24/2026
My lab develops statistical learning, deep learning, and AI methods to decode single‑cell and spatial omics data. We hope to use these tools to extract mechanistic insights into how cells…
6/17/2025
Research description: Herpes simplex viruses type 1 and type 2 are significant human pathogens. Approximately 65% of the US population are infected with HSV-1 and 20% with HSV-2. The viruses persist…
6/17/2025
The lab is interested in understanding the epigenetic (and genetic) regulation of the oxytocin receptor in the context of human and animal social behavior.
6/17/2025
We aim to understand how eukaryotic cells control chromatin structure. Knowledge of chromatin-structure at the level of its nucleosome subunits inside cells will give far-reaching mechanistic insight into gene regulation,…
6/17/2025
Acute Myeloid Leukemia (AML) is the most common acute leukemia in adults. AML prognosis and overall survival decline in patients older that 60 years of age and in patients who…
6/17/2025
The lab has two related areas of interest: 1) development of red cells and platelets within bone marrow precursors, and 2) the effects of iron deprivation on red cell and…
