David H. Bailey

David H. Bailey
Bailey in 2010
Born David Harold Bailey
1948 (age 69–70)
Alma mater Brigham Young University
Stanford University
Known for Bailey–Borwein–Plouffe formula
Awards Sidney Fernbach Award (1993)
Chauvenet Prize (1993)
Gordon Bell Prize (2008)
Levi L. Conant Prize (2017)
Scientific career
Fields Computer science
Experimental mathematics
Institutions Lawrence Berkeley National Laboratory (Retired)
Research fellow at UC Davis
Doctoral advisor Donald Samuel Ornstein

David Harold Bailey (born 1948) is a mathematician and computer scientist. He received his B.S. in mathematics from Brigham Young University in 1972 and his Ph.D. in mathematics from Stanford University in 1976.[1] He worked for 14 years as a computer scientist at NASA Ames Research Center, and then from 1998 to 2013 as a Senior Scientist at the Lawrence Berkeley National Laboratory. He is now retired from the Berkeley Lab, but continues as a Research Associate at the University of California, Davis, Department of Computer Science.

Bailey is perhaps best known as a co-author (with Peter Borwein and Simon Plouffe) of a 1997 paper that presented a new formula for π (pi), which had been discovered by Plouffe in 1995. This Bailey–Borwein–Plouffe formula permits one to calculate binary or hexadecimal digits of pi beginning at an arbitrary position, by means of a simple algorithm. More recently (2001 and 2002), Bailey and Richard Crandall showed that the existence of this and similar formulas has implications for the long-standing question of "normality" – whether and why the digits of certain mathematical constants (including pi) appear "random" in a particular sense.

Bailey is a long-time collaborator with the late Jonathan Borwein (Peter's brother). They co-authored five books and over 80 technical papers on experimental mathematics.

Bailey also does research in numerical analysis and parallel computing. He has published studies on the fast Fourier transform, high-precision arithmetic, and the PSLQ algorithm (used for integer relation detection). He is a co-author of the NAS Benchmarks, which are used to assess and analyze the performance of parallel scientific computers.

He has also published articles in the area of mathematical finance, including a 2014 paper "Pseudo-mathematics and financial charlatanism," which emphasizes the dangers of statistical overfitting and other abuses of mathematics in the financial field.

In 1993, Bailey received the Sidney Fernbach award from the IEEE Computer Society, as well as the Chauvenet Prize[2] and the Hasse Prize from the Mathematical Association of America. In 2008 he was a co-recipient of the Gordon Bell Prize from the Association for Computing Machinery. In 2017 he was a co-recipient of the Levi L. Conant Prize from the American Mathematical Society.

Selected works

  • with Robert F. Lucas, Samuel Williams (eds.): Performance tuning of scientific applications. Chapman & Hall/CRC Computational Science Series, CRC Press 2010, ISBN 9781439815694.
  • with Jonathan Borwein, Neil Calkin, Roland Girgensohn, D. Russell Luke, Victor Moll: Experimental mathematics in action, A. K. Peters 2007
  • with Michał Misiurewicz: "A strong hot spot theorem". Proc. Amer. Math. Soc. 134 (9): 2495–2501. 2006. doi:10.1090/s0002-9939-06-08551-0. MR 2213726.
  • with Jonathan Borwein, Marcos Lopez de Prado and Qiji Jim Zhu: "Pseudo-mathematics and financial charlatanism: The effects of backtest overfitting on out-of-sample performance". Notices of the AMS. 61 (5): 458–471. 2014. doi:10.1090/noti1105.
  • with Jonathan Borwein, Roland Girgensohn: Experimentation in mathematics: Computational paths to discovery, A. K. Peters 2004
  • with Jonathan Borwein: Mathematics by experiment: Plausible reasoning in the 21st century, A. K. Peters 2004, 2008 (with accompanying CD Experiments in Mathematics, 2006)

See also

References

  1. ↑ David H. Bailey at the Mathematics Genealogy Project
  2. ↑ Bailey, David H.; Borwein, Jonathan M.; Borwein, Peter B. (1989). "Ramanujan, Modular Equations, and Approximations to Pi, or, How to Compute One Billion Digits of Pi". Amer. Math. Monthly. 96: 201–219. doi:10.2307/2325206.
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