Ciao visitor, this is Cristina! 👋
I’m a postdoc in the Computer Science department at Brown University 🇺🇸, where I do fun research in the BATS lab led by Stephen Bach. As data is changing our notion of the world, I contribute to this change by either designing models to learn from a few labeled data, or understanding humans behaviours, with a computational approach.
I arrived at Brown as Visiting Ph.D. student and worked with Eli Upfal and Matteo Riondato. In July 2021, I defended my Ph.D. thesis in Computer Engineering from Sapienza University 🇮🇹, advised by Aris Anagnostopoulos and Stefano Leonardi. I earned my master’s degree in Data Science at Sapienza University, after one-year exchange in the School of Computer and Communication Sciences at EPFL 🇨🇭, where I joined Data Science Lab led by Robert West. Before that, I got a bachelor degree in Statistics, Economics and Finance at Sapienza University.
📻 News
- (Oct ‘22) I’m looking for jobs in industry!
- (Sept ‘22) Our paper on theoretical limitis of zero-shot learning has been accepted at NeurIPS 2022!
- (Aug ‘22) I presented TAGLETS at MLSys 2022 in Santa Clara!
- (Jun ‘22) Our work demonstrating that #MyBodyMyChoice is not uniquely associated to women’s rights after Covid-19 has received an honorable mention for the best paper award at WebSci 2022! 🏆
📝 Publications
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Reducing polarization and increasing diverse navigability in graphs by inserting edges and swapping edge weights
Data Mining and Knowledge Discovery 2022
S. Haddadan, C. Menghini, M. Riondato, E. Upfal
[pdf] -
Tight Lower Bounds on Worst-Case Guarantees for Zero-Shot Learning with Attributes
Neurips 2022
A. Mazzetto *, C. Menghini *, A. Yuan, E. Upfal, S. H. Bach
[pdf] -
The Drift of #MyBodyMyChoice Discourse on Twitter
WebSci 2022 - 🏆 Best Paper Award Honorable Mention
C. Menghini, J. Uhr, S. Haddadan, A. Champagne, B. Sandstede, S. Ramachandran
[pdf] -
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary Data
Machine Learning and Systems 2022
W. Piriyakulkij, C. Menghini, R. Briden, N. V. Nayak, J. Zhu, E. Raisi, S. H. Bach
[pdf] -
Algorithms for fair k-clustering with multiple protected attributes
Operations Research Letters 2021
M. Bohm, A. Fazzone, S. Leonardi, C. Menghini, C. Schwiegelshohn
[pdf] -
RePBubLik: Reducing polarized bubble radius with link insertions
WSDM 2021 - 🏆 Best Paper Award Honorable Mention
S. Haddadan, C. Menghini, M. Riondato, E. Upfal
[pdf] -
How Inclusive Are Wikipedia’s Hyperlinks in Articles Covering Polarizing Topics?
Big Data 2021
C. Menghini, A. Anagnostopoulos, E. Upfal
[pdf] -
Spectral Relaxations and Fair Densest Subgraphs
CIKM 2021
A. Anagnostopoulos, L. Becchetti, A. Fazzone, C. Menghini, C. Schwiegelshohn
[pdf] -
Wikipedia Polarization and Its Effects on Navigation Paths
Big Data 2019
C. Menghini, A. Anagnostopoulos, E. Upfal
[pdf] -
Compiling Questions into Balanced Quizzes about Documents
CIKM 2018
C. Menghini, J. Dehler-Zufferey, R. West
[pdf]