• College of William & Mary - BS Biology (Minor: Fine Arts)
  • Penn State University - Molecular, Cellular, and Integrative Biosciences PhD program


Undergraduate research was on the nucleocytoplasmic trafficking of thyroid hormone receptor

Research Interests:

  • Longitudinal modeling
  • Psychosocial/behavioral risk factors & phenotypes
  • Tools for analyzing longitudinal big data
  • Multi-omic integration


January 06, 2021

Kristin Passero (Hall Lab PhD student) and Molly Hall organized the session “What about the environment? Leveraging multi-omic datasets to characterize the environment’s role in human health” for the Pacific Symposium on Biocomputing with environmental health research experts Dr. Chirag Patel (Harvard Medical School), Dr. Arjun Manrai (Harvard Medical School), Dr. Kimberly McAllister (National Institute of Environmental Health Sciences), and Dr. Shefali Setia Verma (University of Pennsylvania).

Kristin published an introduction to the session and gave an introductory talk as well. Hall Lab MD/PhD student, Morris Aguilar, also gave a talk on his metabolomics research.

December 18, 2019

The Hall Lab original CLARITE (pronounced clarity) software and first EWAS for BMI was published in Frontiers in Genetics: CLARITE Facilitates the Quality Control and Analysis Process for EWAS of Metabolic-Related Traits

December 17, 2019

Kristin Passero’s first first-author paper was accepted at the Pacific Symposium on Biocomputing (PSB), which we will present in Hawaii January 2020, titled “Phenome-wide association studies on cardiovascular health and fatty acids considering phenotype quality control practices for epidemiological data”

December 03, 2019

Congratulations to Kristin Passero for passing her qualifying exam!

October 17, 2019

Graduate students, Jiayan Zhou and Kristin Passero present their first posters at the American Society of Human Genetics in Houston

September 16, 2019

Congratulations to Kristin Passero for earning the Huck Travel Award to ASHG in Houston for her poster titled “Considering phenotype quality-control practices for phenome-wide association studies using epidemiological data”