Ani Kristo


Ani Kristo


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

I received my undergraduate 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
International Conference on Management of Data (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
Conference on Innovative Data Systems Research (CIDR 2019), Asilomar, CA

Other research activity

Learned Sort

  • AI Systems Workshop at the ACM Symposium on Operating Systems Principles (SOSP 2019), Huntsville, ON
  • Poster session at the North East Database Day (NEDB 2019), Cambridge, MA

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

  • Poster session at the North East Database Day (NEDB 2018), Cambridge, MA


Writing Samples

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

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

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

Location: 115 Waterman St, Providence, RI
Office: CIT 345

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