Large-scale analysis of disease genomes by integrating multi-omics data, evolutionary insights, health records, and digitized clinical traits from imaging and wearable sensor readouts.
Understanding the basic biology and realizing applicable strategies to enable liver tissue engineering for the treatment of end-stage liver disease.
Mentorship Development:
12/19/19 ACRA: Setting Training Expectations for Trainees on the Academic Career Track (1.5 hours)
2/16/21 Three Truths & Three Tries: Facing & Overcoming Critical Social Justice Challenges at the Micro, Mezzo & Macro Levels
The Sirota Lab aims to develop computational integrative methods to inform disease diagnostics and therapeutics. Our goal is to integrate different types of omics and clinical data to better understand the role of the immune system in disease.
We strive to understand the events that drive progression of pre-malignant disease into invasive cancer, focusing on gastric and esophageal adenocarcinoma.
We aim to elucidate previously unrecognized paracrine and endocrine signaling pathways that regulate stem cell fate and differentiation decisions that modulate body composition and metabolism.
