Riley Murray

Riley Murray is a staff scientist at Sandia National Labs, focusing on research in randomized numerical linear algebra, mathematical optimization, and quantum characterization, verification, and validation (QCVV). They hold a PhD in Computing and Mathematical Sciences from Caltech, supervised by Venkat Chandrasekaran and Adam Wierman, and completed postdoctoral work at UC Berkeley, ICSI, and LBNL with Michael Mahoney and Jim Demmel.

• Education: PhD in Computing and Mathematical Sciences (Caltech), BSc in Industrial Engineering and Operations Research (UC Berkeley)
• Current Role: Staff Scientist at Sandia National Labs

Their research bridges theoretical and applied mathematics, emphasizing scalable algorithms for large-scale data problems and quantum computing. They developed the RandBLAS 1.0 C++ library for sketching in numerical linear algebra and co-authored a book on randomized linear algebra. Riley supervises PhD student Maksim Melnichenko, whose work on column-pivoted QR decomposition was published on arXiv.

Riley is an advocate for LGBTQ+ visibility in STEM, identifying as gender nonconforming and bisexual. They prioritize inclusive representation in their professional profile and public communications.