Computing Systems for Data-Driven Science
Sense, Collect and Move Data
Martha Kim is an Associate Professor of Computer Science at Columbia University where she leads the ARCADE Lab. Kim’s research interests are in computer architecture, parallel programming, compilers, and low-power computing. Her work has explored low-cost chip manufacturing systems, reconfigurable communication networks, and fine-grained parallel application profiling techniques. Her current research focuses on hardware and software techniques to improve the usability of hardware accelerators as well as data-centric accelerator design. Kim holds a PhD in Computer Science and Engineering from the University of Washington and a bachelors in Computer Science from Harvard University. She is the recipient of the 2013 Rodriguez Family Award in recognition of the research achievements of underrepresented junior faculty and a 2013 NSF CAREER award.