Dr James M. Krieger is a senior data scientist in the Visual Biochemistry Laboratory (Enchev) at the Francis Crick Institute in London, processing cryo-electron microscopy data and collaborating on methods developments.
He was recently a Marie Sklodowska-Curie Actions Individual Fellow in the Biocomputing Unit (Carazo group) of the National Center of Biotechnology, CSIC, developing expertise and methods in this area.
Originally trained in biochemistry (B.Sc., Imperial College London, 2008), structural molecular biology (M.Res., Imperial College London, 2012) and molecular neurobiology with a focus on glutamate receptor ion channels (Ph.D., University of Cambridge and MRC Laboratory of Molecular Biology, 2016), his main interest is in protein dynamics and mechanisms. His main postdoctoral experience was in computational biophysics in the Bahar group at the University of Pittsburgh.
His research focuses on combining computational biophysics, machine learning and image processing approaches to better understand protein dynamics and landscapes from cryo electron microscopy.
Dr James M. Krieger is a senior data scientist in the Visual Biochemistry Laboratory (Enchev) at the Francis Crick Institute in London, processing cryo-electron microscopy data and collaborating on methods developments.
He was recently a Marie Sklodowska-Curie Actions Individual Fellow in the Biocomputing Unit (Carazo group) of the National Center of Biotechnology, CSIC, developing expertise and methods in this area.
Originally trained in biochemistry (B.Sc., Imperial College London, 2008), structural molecular biology (M.Res., Imperial College London, 2012) and molecular neurobiology with a focus on glutamate receptor ion channels (Ph.D., University of Cambridge and MRC Laboratory of Molecular Biology, 2016), his main interest is in protein dynamics and mechanisms. His main postdoctoral experience was in computational biophysics in the Bahar group at the University of Pittsburgh.
His research focuses on combining computational biophysics, machine learning and image processing approaches to better understand protein dynamics and landscapes from cryo electron microscopy.