Jeremy Kepner is Head and Founder of the MIT Lincoln Laboratory Supercomputing Center, a Lincoln Laboratory Fellow, SIAM Fellow, and holds additional MIT appointments (including Mathematics and Connection Science). On his MIT home page he summarizes a research arc spanning abstract algebra through AI, databases, signal processing, benchmarking, and hardware-conscious supercomputing—including co-inventing pathways to the Massachusetts Green High Performance Computing Center, founding sponsorship of the Julia ecosystem, authorship of the GraphBLAS mathematical specification, co-chairing HPC Challenge, and leadership of GraphChallenge. His archived OCW course on big data and ML has accumulated hundreds of thousands of views.
Hayden Jananthan brings complementary depth from mathematical logic and computability: his Vanderbilt profile describes work on hyperarithmetical theory, algorithmic randomness, and Muchnik degrees, alongside applied work at Lincoln Laboratory on associative arrays bridging scientific computing, ML, and database theory. See his academic biography for the full statement. Together he and Kepner mirror the book's structure: relentless applications intuition paired with careful definitions in the middle chapters.
Kepner's site also highlights how unusual Mathematics of Big Data was within MIT Press history—the co-authorship story is worth reading in his own words.