Faculty

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  Zhiping Weng, PhD

  Director and Professor; Li Weibo Chair in Biomedical Research

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

  ZLab      Weng Lab      Twitter

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  Nezar Abdennur, PhD

  Assistant Professor

  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            

• 

  Andres Colubri, PhD

  Assistant Professor

  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.

  Twitter      Co-Labo      Lab Twitter
  

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  Manuel Garber, PhD

  Professor; Director, Bioinformatics Core

  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

• 

  Elinor Karlsson, PhD

  Associate Professor

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

  Karlsson Lab

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  Alper Kucukural, PhD

  Associate Professor; Co-Director, Bioinformatics Core

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

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  Jill Moore, PhD

  Assistant Professor

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

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  Edith Pfister, PhD

  Assistant Professor

  Scientific communication. Alternative polyadenylation and splicing in neurodegenerative disease.

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  Teng-Ting (Elaine) Lim, PhD

  Assistant Professor

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

  Lim Lab     Twitter

UMMS Collaborating Faculty

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  Athma Pai, PhD

  Assistant Professor, RNA Therapeutics

  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

• 

  Yingleong (Rigel) Chan, PhD

  Assistant Professor, Neurology

  The Chan lab explores 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