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FACULTY

  • Zhiping Weng

    Zhiping Weng , PhD

    Chair 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

  • Manuel Garber

    Manuel Garber , PhD

    Professor

    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

    Elinor Karlsson , PhD

    Associate Professor, Dr. Eileen L. Berman and Stanley I. Berman Foundation Chair in Biomedical Research

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

    Karlsson Lab

  • Nezar Abdennur

    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

    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.

    Co-Labo             Twitter               Lab Twitter

  • Raluca Gordan

    Raluca Gordan , PhD

    Professor

    We develop computational and experimental techniques to decipher the DNA binding specificity of transcription factors (TFs), DNA repair proteins, and CRISPR-Cas enzymes. A major focus is investigating the newly discovered roles of TFs in promoting DNA mutagenesis by interfering with DNA repair and/or promoting the formation of lesions in regulatory DNA.

  • Jill Moore

    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

    Moore Lab          Twitter

  • Jacob Schreiber

    Jacob Schreiber , PhD

    Assistant Professor

    To understand the regulatory role of each nucleotide in every cell of an organism and to forecast how perturbations in protein-coding and non-coding space affect these roles

  • Lingfei Wang

    Lingfei Wang , PhD

    Assistant Professor

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

    Wang Lab


  • Frances L. Chen

    Frances L. Chen , DVM, PhD

    Assistant Professor

    Advancing companion animals as a model for investigating genetic influences on complex disease, such as cancer and aging. 

  • Alper Kucukural

    Alper Kucukural , PhD

    Associate Professor

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

    Biocore     Twitter

UMASS CHAN AFFILIATED FACULTY

  • Jeanne B. Lawrence

    Jeanne B. Lawrence , PhD

    Professor, Neurology, Leo P. and Theresa M. LaChance Chair in Medical Research

    Lawrence lab research bridges fundamental questions of developmental epigenetics with translational research into the common problem of chromosome abnormalities, particularly Down syndrome.

  • Lisa L. Hall-Anderson

    Lisa L. Hall-Anderson , PhD

    Assistant Professor, Neurology

    Dr. Hall's main research interest is studying how long non-coding RNAs interact with chromatin, the functional importance of the repeat genome in gene regulation and nuclear structure, as well as our ongoing project silencing the extra chromosome 21 in Down syndrome patient cells using targeted integration of an XIST transgene. 

  • Athma Pai

    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