FACULTY

To explore and understand biological data through the application and development of computational tools.

ZLab      Weng Lab      Twitter

To study the evolution of transcriptional control and non-coding RNAs in mammals through development and analysis of sequence-based molecular biology approaches.

Garber Lab for Evolutionary Non-coding Genomics      Twitter

Using ancient signals of natural selection to understand how the human genome works and translating this insight into better medical therapies.     

Karlsson Lab

To solve challenges of multi-omic data science in biology and medicine, including approaches to explore, integrate and comprehensively understand large, heterogeneous datasets and make working with them more effective.

Abdennur Lab        Twitter          GitHub            

Integration of machine learning, digital epidemiology, mobile health, and data visualization to create novel methods and tools with impact in infectious disease modeling, forecasting and preparedness.

Co-Labo             Twitter               Lab Twitter

To understand the genetic mechanisms of complex neurological diseases through computational and statistical methods and experimental technology development.

Lim Lab     Twitter

To better understand gene regulation and its role in human disease by using machine learning algorithms to interpret and integrate multi-omic data

Moore Lab          Twitter

To decipher gene regulatory networks within and between individual cells across health, disease, and development.

Wang Lab

Computational analysis and data integration of next-generation sequencing data and developing reusable bioinformatics analysis pipelines. (see Bioinformatics Core for more information).

Biocore     Twitter

Using computational genomics and systems biology approaches to understand the speed and efficiency at which RNA molecules are created and processed to ensure proper cellular functions.

Pai Lab     Twitter

To explore the ability to use in-vitro systems from a population of donor individuals to model human genetic diseases and phenotypes.     

Rigel Chan Lab, Neurology Department