High-dimensional statistical approaches for personalized medicine
Human diseases show considerable heterogeneity at the molecular level. Such heterogeneity is central to personalized medicine efforts that seek to exploit molecular data to better understand disease biology and inform clinical decision making. An emerging notion is that diseases and disease subgroups may differ not only at the level of mean molecular abundance, but also with respect to patterns of molecular interplay. I will discuss our ongoing efforts to develop methods to investigate such heterogeneity, with an emphasis on some high-dimensional aspects.
Speaker Biography
Sach Mukherjee (German Center for Neurodegenerative Diseases (DZNE), Bonn)
Sach Mukherjee is a group leader at the German Center for Neurodegenerative Diseases (DZNE), Bonn. His research focuses on statistical approaches for personalized medicine and systems biology, broadly defined. He earned a DPhil at Oxford, was a postdoctoral fellow at UC Berkeley and has previously held PI and faculty positions at Warwick (in Statistics), Amsterdam (at the Netherlands Cancer Institute) and Cambridge (at the MRC Biostatistics Unit). He has been a Fulbright Fellow and a recipient of the Wolfson Merit Award of the UK Royal Society.
