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.
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 seek to understand how the organization of the nucleus is established, specialized across cell types, and maintained over time to influence cellular identity.
Mentorship Development:
11/21/19 Equity and Inclusion in the Lab (2 hours)
11/10/20 Optimizing the Efficiency of Your Lab
5/2021 Sharpening your Mentoring Skills (SyMS)
We study tumor evolution, drug sensitization and oncogene network alterations in patients in order to improve precision medicine therapies for hormone-related and genitourinary cancers.
Mechanisms of signaling and trafficking at the primary cilium, biogenesis of extracellular vesicles.
Mentorship Development:
12/19/19 ACRA: Setting Training Expectations for Trainees on the Academic Career Track (1.5 hours)
12/8/20 Setting Expectations with a "Welcome to the Lab' Letter (Parts 1 and 2)
