On November 6, 2019, Gordon Keller, PhD, was presented with the 2019 Ogawa-Yamanaka Stem Cell Prize. A world-renowned stem cell scientist, Keller was selected for his contributions to efficient lineage-specific differentiation of human pluripotent stem cells into a myriad of cell types, enabling disease modeling and regenerative medicine approaches for many human diseases.
The Ogawa-Yamanaka Stem Cell Prize recognizes individuals whose original translational research has advanced cellular reprogramming technology for regenerative medicine. The prize was established in 2015 through a generous gift from the late Hiro and Betty Ogawa and is supported by the Gladstone Institutes. It also recognizes the importance of induced pluripotent stem cells (iPSCs), discovered by Gladstone Senior Investigator and Nobel laureate Shinya Yamanaka.
In 2019, Gladstone formed a partnership with the Cell Press group to support this important prize.
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Computational Biology Pioneer Katie Pollard Elected as AAAS Fellow
Article
April 18, 2024
Computational Biology Pioneer Katie Pollard Elected as AAAS Fellow
The American Association for the Advancement of Science (AAAS), one of the world’s largest general scientific societies, has elected Gladstone Senior Investigator Katie Pollard, PhD, into its new class of AAAS Fellows, a lifetime honor within the scientific community.
Awards News Release Data Science and Biotechnology Pollard Lab AI Big Data Genomics Human Genetics MicrobiomeBarbara Engelhardt Elected Fellow of the International Society for Computational Biology
Article
March 11, 2024
Barbara Engelhardt Elected Fellow of the International Society for Computational Biology
The ISCB Fellows program is a prestigious recognition within the field of computational biology honoring those who have made outstanding contributions to the discipline. These distinguished scientists and professionals have demonstrated exceptional leadership, research, and service, advancing the frontiers of computational biology and bioinformatics.
Awards News Release Data Science and Biotechnology Engelhardt Lab AI Big Data