معرفی
Dana Randall is the ADVANCE Professor of Computing and an Adjunct Professor of Mathematics at Georgia Institute of Technology. She serves as the Associate Dean for Access and Advancement in the College of Computing, Co-Executive Director of the Institute for Data Engineering and Science (IDEaS), and previously directed the Algorithms and Randomness Center (ARC). Her research bridges theoretical computer science, discrete mathematics, and statistical physics, focusing on randomized algorithms and stochastic processes.
Education:
- A.B. in Mathematics, Harvard University (1988)
- Ph.D. in Computer Science, University of California, Berkeley (1994)
Research Interests:
- Randomized algorithms and Markov chain Monte Carlo methods
- Computational problems in statistical physics
- Combinatorics, distributed algorithms, and collective computation
Awards & Honors:
- Fellow of the American Mathematical Society (AMS)
- National Associate of the National Academies
- Former Sloan Fellow and NSF Career Award recipient
Grants & Leadership:
- Principal Investigator on a $6.25M ARO MURI grant on collective emergent behavior (2019–2024)
- Co-founder and Co-Executive Director of IDEaS (2016–2019)
- Directed the Algorithms and Randomness Center (2014–2016)
Labs & Teams: Active in the Algorithms and Randomness Center (ARC) and Institute for Data Engineering and Science (IDEaS), focusing on interdisciplinary research in algorithms, data science, and computational theory.
