Ani Kristo

< ML for Systems, Algorithms, Databases />



I am a PhD candidate in Computer Science at Brown University and advised by Tim Kraska. I am part of Brown's Data Management group and MIT's Learned Systems group. My research interests broadly include the use of ML techniques to improve algorithms and system components.

Specifically, I work on LearnedSort, a new, learning-enhanced, sorting algorithm that has beaten state-of-the-art sequential algorithms.

Before my time at Brown, I received my bachelor's degree from Bilkent University in Turkey. During that time I undertook a few side projects and volunteered for the Erasmus Student Network and Crossing Paths.


Peer-reviewed papers

The Case for a Learned Sorting Algorithm
A. Kristo, K. Vaidya, U. Çetintemel, S. Misra, T. Kraska
SIGMOD 2020, Portland, OR

SageDB: A Learned Database System
T. Kraska, M. Alizadeh, A. Beutel, E. H. Chi, J. Ding, A. Kristo, G. Leclerc, S. Madden, H. Mao and V. Nathan
CIDR 2019, Asilomar, CA


Other research activity

Learned Sort

  • AI Systems Workshop at SOSP 2019, Huntsville, ON
  • Poster session at the NEDB 2019, Cambridge, MA

BROOK: A compilation tool to reduce inference time for small neural networks

  • Poster session at NEDB 2018, Cambridge, MA


Blog items

Connectionist and Statistical Approaches to Natural Language Processing
An overview of the achievements and challenges for modern machine translation systems

The Right to be Forgotten
An analysis from an American perspective and what it means for the US to adopt it

Engineering the Human Mind
Challenges, Attempts and Implications

GOFAI and Connectionism in the Context of Computer Games
An overview of incremental successes of Chess and Go engines throughout the history of AI


Contact info

115 Waterman St
Room 345
Providence, RI

Reach me