MEMBERS

Carl de Boer, PhD, PLEng

Co-founder, Director, GRCC

School of Biomedical Engineering, University of British Columbia

Dr. de Boer’s research spans synthetic biology and AI, with the aim of enabling personalized genomic medicine.

Jussi Taipale, PhD

Co-founder, Director, GRCC
Generative and Synthetic Genomics Programme, Wellcome Sanger Institute, Hinxton, UK;

Department of Biochemistry, University of Cambridge, Cambridge, UK;

Applied Tumor Genomics Program, Biomedicum, University of Helsinki, Helsinki, Finland

Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden

Dr. Taipale studies how sequence determines when and where genes are expressed, and the role of gene expression in cancer.

Omar Abudayyeh, PhD

Assistant Professor of Medicine, Department of Medicine, Harvard Medical School Investigator, Division of Eng. in Medicine, Department of Medicine, Brigham and Women’s Hospital Director of Gene Editing, MGB Gene and Cell Therapy Institute Department of Stem Cell and Regenerative Biology, Harvard University Associate Member, Broad Institute of MIT and Harvard

Building molecular and virtual tools for programming biology.

Stein Aerts, PhD

VIB.AI (VIB Center for AI & Computational Biology) & University of Leuven, Belgium

The Aerts lab focuses on deciphering the cis-regulatory code, using a combination of single-cell, machine-learning, and experimental approaches across Metazoa.

Nadav Ahituv, PhD

Department of Bioengineering and Therapeutic Sciences; Institute for Human Genetics; UCSF

Functional genomics of gene regulatory elements and gene therapy.

Lacra Bintu

Department of Bioengineering, Stanford University

Dr. Bintu’s lab uses high-throughput synthetic biology, single-cell and single-molecule measurements, and mathematical modeling to get at basic principles of gene and chromatin regulation in mammalian cells.

Jef Boeke

Institute for Systems Genetics, NYU Langone

We are using Big DNA technology and random DNA Sequence generation to try to decipher gene regulatory codes.

Martha Bulyk, Ph.D.

Div. Genetics, Dept. Medicine; Dept. Pathology; Brigham & Women’s Hospital and Harvard Medical School

Experimental and computational approaches including tech dev to investigate transcription factors & cis-regulatory elements.

Professor Tom Ellis

Department of Biochemistry, Imperial College London

Applying synthetic biology at chromosomal scale in microbes and mammalian cells.

Julien Gagneur, PhD

Technical University of Munich and Helmholtz Munich

Julien Gagneur develops computational methods for an improved understanding of the genetic basis of gene regulation and its implication in diseases.

Timothy R. Hughes, PhD

Donnelly Centre and Department of Molecular Genetics, University of Toronto

DNA and RNA sequence recognition.

Prof. Daniel Ibrahim

Berlin Institute of Health / Max Planck Institute for Molecular Genetics, Berlin

Systematic genome engineering with small and large synthetic transgenes to dissect and re-program cell type specific gene expression patterns in mammalian genomes.

Peter Koo, PhD

Cold Spring Harbor Laboratory

Advancing AI for regulatory genomics.

Anshul Kundaje, PhD

Department of Genetics, Department of Computer Science, Stanford University

We develop ML models & interpretation methods for decoding the cis-regulatory code.

Jean-Benoit Lalanne, PhD

Department of Biochemistry, University of Montreal

Single-cell method development to quantitatively measure enhancer activity in developmental systems.

Ben Lehner, PhD

Wellcome Sanger Institute

Splicing regulatory code and transcription factor binding specificity.

Craig Lowe, PhD

Department of Molecular Genetics and Microbiology, Duke University

My lab is working to understand the gene regulatory consequences of each mutation that separates humans from the other great apes.

Jennifer Mitchell, PhD

Department of Cell and Systems Biology, University of Toronto

We use CRISPR genome editing and in genome reporter assays to investigate the regulatory code in stem cells and disease.

Sudarshan Pinglay, PhD

Department of Genome Sciences, University of Washington

Tinkering with mammalian genomes through synthetic genomics, multiplexed single-cell readouts, and de novo design.

Jacob Schreiber, Ph.D.

Department of Genomics and Computational Biology, UMass Chan Medical School

Developing machine learning tools to decipher the regulatory role of each nucleotide in the genome and how this changes across every cell in our bodies.

Jay Shendure, MD, PhD

Seattle Hub for Synthetic Biology (Allen-CZI-UW); Howard Hughes Medical Institute

Genome Technology.

Alexander Stark, PhD

The Research Institute of Molecular Pathology (IMP)

We study how gene-regulatory information is encoded by the genomic DNA sequence and how the cellular machinery reads this information to execute transcription control.

Andrew B. Stergachis, MD PhD

Departments of Medicine and Genome Sciences, University of Washington

Dr. Stergachis’ group uses single-molecule chromatin assays to resolve how non-coding genetic variants cause rare diseases.

Knut Woltjen, Ph.D.

Department of Life Science Frontiers, Center for iPS Cell Research and Application (CiRA), Kyoto University

Understanding human genetic variation through gene editing in human induced pluripotent stem cells.

Gokcen Eraslan

Genentech / ReLU

Building AI/ML models for DNA/RNA sequences

Michael White, PhD

Department of Genetics, Washington University in St. Louis

I pair MPRAs with computational modeling to learn how context determines the function of TF binding sites.

Emma Farley, PhD

Department of Molecular Biology and Medicine, University of California San Diego

Enhancer grammar in development and disease

Luca Pinello, PhD

Department of Pathology, MGH/Harvard Medical School, Gene Regulatory Observatory, Broad Institute, Department of Biostatistics Harvard School of Public Health

Developing generative AI and graph-based computational frameworks to decode the regulatory grammar of the genome and design precision genome editing strategies for therapeutic applications.

Ryan Tewhey

Jackson Laboratory

The Tewhey Lab investigates how single-nucleotide changes in gene regulatory elements influence phenotype.

Jian Zhou, PhD

Section of Genetic Medicine, University of Chicago

Understand regulatory sequences with computational approaches

Jonathan Gootenberg, PhD

Department of Medicine, Harvard Medical School

Building molecular and virtual tools for programming biology

Joanna Wysocka, PhD

Dept.of Chemical and Systems Biology, Dept. of Developmental Biology, Stanford University

We study gene regulatory mechanisms that underlie phenotypic variation among cell types, species, and individuals.

Julia Zeitlinger

Stowers Institute for Medical Research

Understand regulatory sequenDeep-learning based discovery of the missing rules of gene regulationces with computational approaches

Matthew Maurano

Institute for Systems Genetics

We use synthetic regulatory genomics to understand how noncoding sequence elements control gene expression