About me
Daniel Anderson is an assistant teaching professor at Carnegie Mellon University, where he recently graduated with a PhD in computer science focusing on parallel computing and parallel algorithms. Daniel teaches algorithms classes to hundreds of undergraduate students and spends his remaining time writing C++ libraries that aim to make parallel computing easier and more accessible to non-experts. He is the recipient of a Best Paper Award from the ACM Symposium on Parallelism in Algorithms and Architecture (SPAA) conference.
