Martin Saveski

Postdoc, Stanford University

msaveski [AT] stanford.edu

Bio

I am a Postdoc at the department of Management Science and Engineering at Stanford University, working with Johan Ugander. My main research interest is in Computational Social Science. I am passionate about developing new computational methods and analyzing large-scale datasets to study important social problems. My work often falls at the intersections of Social Network Analysis, Machine Learning, and Causal Inference.

I completed my Ph.D. from MIT in 2020 under the supervision of Deb Roy. Before coming to MIT, I spent one year in Paris and one year in Barcelona doing a M.Sc. in Data mining and Knowledge Management. I got my B.Sc. from Staffordshire University with First Class honors in Computer Science. Throughout my graduate studies, I spent several summers doing internships in industry, including Yahoo! Labs, Amazon, LinkedIn, and Facebook.

Publications

Most recent publications on Google Scholar.
indicates equal contribution.

The Structure of Toxic Conversations on Twitter

Martin Saveski, Brandon Roy, Deb Roy

WebConf'21: The Web Conference (formerly WWW)

Social Catalysts: Characterizing People Who Spark Conversations Among Others

Martin Saveski, Farshad Kooti, Sylvia Morelli Vitousek, Carlos Diuk, Bryce Bartlett, Lada Adamic

CSCW'21: Conference on Computer-Supported Cooperative Work and Social Computing

Algorithmic and Human Prediction of Success in Human Collaboration From Visual Features

Martin Saveski, Edmond Awad, Iyad Rahwan, Manuel Cebrian

Nature Scientific Reports. 2021

Balanced Influence Maximization in the Presence of Homophily

Md Sanzeed Anwar, Martin Saveski, Deb Roy

WSDM'21: International Conference on Web Search and Data Mining

Testing for Arbitrary Interference on Experimentation Platforms

Jean Pouget-Abadie, Guillaume Saint-Jacques, Martin Saveski, Weitao Duan, Souvik Ghosh, Ya Xu, Edo Airoldi

Biometrika. 2019.

Me, My Echo Chamber, and I: Introspection on Social Media Polarization

Nabeel Gillani, Ann Yuan, Martin Saveski, Soroush Vosoughi, Deb Roy

WWW'18: International Conference on the World Wide Web. 2018. (Honarable mention)

Detecting Network Effects: Randomizing Over Randomized Experiments

Martin Saveski, Jean Pouget-Abadie, Guillaume Saint-Jacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edo Airoldi

KDD'17: International Conference on Knowledge Discovery and Data Mining. 2017. (Research Track)

One-Pass Ranking Models for Low-Latency Product Recommendations

Antonino Freno, Martin Saveski, Rodolphe Jenatton, Cédric Archambeau

KDD'15: International Conference on Knowledge Discovery and Data Mining. 2015. (Industry Track)

Item Cold-Start Recommendations: Learning Local Collective Embeddings

Martin Saveski, Amin Mantrach.

RecSys'14, ACM Conference Series on Recommender Systems. 2014.

The Structure of Toxic Conversations on Twitter

Martin Saveski, Brandon Roy, Deb Roy

WebConf'21: The Web Conference (formerly WWW)

Social Catalysts: Characterizing People Who Spark Conversations Among Others

Martin Saveski, Farshad Kooti, Sylvia Morelli Vitousek, Carlos Diuk, Bryce Bartlett, Lada Adamic

CSCW'21: Conference on Computer-Supported Cooperative Work and Social Computing

Algorithmic and Human Prediction of Success in Human Collaboration From Visual Features

Martin Saveski, Edmond Awad, Iyad Rahwan, Manuel Cebrian

Nature Scientific Reports. 2021

Balanced Influence Maximization in the Presence of Homophily

Md Sanzeed Anwar, Martin Saveski, Deb Roy

WSDM'21: International Conference on Web Search and Data Mining

Testing for Arbitrary Interference on Experimentation Platforms

Jean Pouget-Abadie, Guillaume Saint-Jacques, Martin Saveski, Weitao Duan, Souvik Ghosh, Ya Xu, Edo Airoldi

Biometrika. 2019.

Observational Causal Inference Using Network Information

Yan Leng, Martin Saveski, Alex ‘Sandy’ Pentland, Dean Eckles

NeurIPS'19, Workshop on Graph Representation Learning. 2019.

Me, My Echo Chamber, and I: Introspection on Social Media Polarization

Nabeel Gillani, Ann Yuan, Martin Saveski, Soroush Vosoughi, Deb Roy

WWW'18: International Conference on the World Wide Web. 2018. (Honarable mention)

Detecting Network Effects: Randomizing Over Randomized Experiments

Martin Saveski, Jean Pouget-Abadie, Guillaume Saint-Jacques, Weitao Duan, Souvik Ghosh, Ya Xu, Edo Airoldi

KDD'17: International Conference on Knowledge Discovery and Data Mining. 2017. (Research Track)

Human Atlas: A Tool for Mapping Social Networks

Martin Saveski, Eric Chu, Soroush Vosoughi, Deb Roy

WWW'16: International Conference on the World Wide Web. 2016. (Demo)

Topic Modeling in Twitter: Aggregating Tweets by Conversations

David Alvarez-Melis, Martin Saveski

ICWSM'16: International AAAI Conference on Web and Social Media. 2016. (Short Paper)

Tracking the Yak: An Empirical Study of Yik Yak

Martin Saveski, Sophie Chou, Deb Roy.

ICWSM'16: International AAAI Conference on Web and Social Media. 2016. (Short Paper)

One-Pass Ranking Models for Low-Latency Product Recommendations

Antonino Freno, Martin Saveski, Rodolphe Jenatton, Cédric Archambeau

KDD'15: International Conference on Knowledge Discovery and Data Mining. 2015. (Industry Track)

Item Cold-Start Recommendations: Learning Local Collective Embeddings

Martin Saveski, Amin Mantrach.

RecSys'14, ACM Conference Series on Recommender Systems. 2014.

The Geography of Online News Engagement

Martin Saveski, Daniele Quercia, Amin Mantrach

Socinfo'14: International Conference on Social Informatics. 2014.

Joint semi-supervised Learning of Hidden Conditional Random Fields and Hidden Markov Models

Yann Soullard, Martin Saveski, Thierry Artières

Pattern Recognition Letters. 2013.

Web Services for Stream Mining: A Stream-Based Active Learning Use Case

Martin Saveski, Miha Grčar

ECML'11, Workshop on Planning to Learn and Service-Oriented Knowledge Discovery. 2011.

Automatic Construction of Wordnets by Using Machine Translation and Language Modeling

Martin Saveski, Igor Trajkovski

In Proceedings of Seventh Language Technologies Conference. 2010.

Development of an English-Macedonian Machine Readable Dictionary by Using Parallel Corpora

Martin Saveski, Igor Trajkovski

Proceedings of ICT Innovations Conference. 2010.

Vitæ

Full Resume in PDF.

Website Design

Since I made this website, many people have found this Jekyll template useful [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11].
You can find all the code needed to build your website in this GitHub repo. Feel free to use it.
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