The Kiem Lab studies cell and gene therapy with a particular interest in the biology of blood and marrow stem cells and the development and use of novel gene therapy and genome editing technologies for ex vivo and in vivo applications. The overall goal is to develop better stem cell transplantation and cell and gene therapy treatments for patients with genetic, infectious, and malignant diseases. Read More
Our long-term goals are to uncover general principles of high-order interactions in the human dark genome, and to elucidate mechanisms by which genetic variants impact human physiology and health. We use a combination of interdisciplinary approaches, including multiplexed CRISPR screening, deep learning modeling, and statistical methods to uncover interactive logics within the non-coding regulatory networks and reveal the DNA sequence codes in governing these genomic systems. We are interested in use these rules and codes to probe the causal consequences of genetic mutations on complex disease and develop novel AI-driven targeted therapy. Read More
Jay is interested in using protein engineering and computational techniques to develop novel protein therapeutics. As an undergraduate researcher, he explored the development of nanobodies that bind tau with conformational specificity and lytic enzymes that act against antibiotic-resistant pathogens. He has BS in chemical and biomolecular engineering from Georgia Tech. Read More
As a graduate student in the lab of Dr. Steven Henikoff at the Fred Hutch Cancer Research Center, Steven developed high throughput methods to profile DNA-binding proteins in single-cells and identify various cellular subtypes. His work was part of a large-scale effort, known as the Human Cell Atlas, to build a comprehensive map of all the cell types in the human body to better understand human health and improve disease diagnosis and treatment. Steven joined the San Francisco based biotechnology company Freenome as a Research and Development Computational Biologist where he will be working on epigenetic modeling. Read More
As a graduate student in the lab of Dr. John K. Lee at the Fred Hutch Research Institute, Huiyun is developing pipelines to deconvolute diverse population of cells marked by combinations of lentiviral barcodes using next-generation sequencing technologies. She is interested in using computational methods to solve biological problems. Her Master’s research focused on analyzing gene expression downstream of TP53 under different genetic contexts in malignant melanoma cells. Huiyun graduated with a B.S. in Biological Sciences from Nanjing University and a M.S. Read More