Ani Kristo

about

Ani Kristo

About Me

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 and Uğur Çetintemel.

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.

Research Interests

  • Databases

  • ML for systems

  • Algorithms

  • Compilers

publications

Peer-reviewed papers

2019

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), Asilomar, CA





Posters

2019

A Learned Sorting Algorithm
A. Kristo, K. Vaidya, U. Çetintemel and T. Kraska
Poster presented at the North East Database Day (NEDB), Cambridge, MA



2018

BROOK: A compilation tool to reduce inference time for small neural networks
A. Kristo, T. Kraska
Poster presented at the North East Database Day (NEDB), Cambridge, MA

education

Skills

Languages

C / C++
Java
Python
Matlab

Web Technologies

Play Framework
Node JS
React / Redux
Bootstrap

Miscellaneous

Tensorflow
Keras
PyTorch
Neo4J / Cypher

Education

2017-Present

Brown University

Computer Science, PhD

Providence, RI

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Advisor: Tim Kraska

Group: Databases / Data Management

2013-2017

Bilkent University

Computer Engineering, BSc

Ankara, Turkey

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GPA: 3.95

Class Rank: 3rd

Awards: Sibel Özelçi Best Senior Design Project Award

experience

Experience

2017-Present

Brown University

Research Assistant

Data Management Research Group: database.cs.brown.edu

2016

Fraunhofer IIS

Research Intern

Broadband and Broadcast: LTE-A Connectivity group

2015

Innova IT Solutions

Software Engineering Intern

R&D department: Lega project

2014

VAS Tours

Web Developer

VasFly.al

Volunteering

blog

In lieu of a blog



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

Contact info

Location: 115 Waterman St, Providence, RI
Email: ani@brown.edu
Office: CIT 345

Open Map

Reach me