I’m a Research Scientist at Google DeepMind interested in language, graphs, and information ecosystems. I did a doctorate in statistics at UNC Chapel Hill with a dissertation focused on community detection. My advisors were Andrew Nobel and Shankar Bhamidi. For much of my degree I was an active member of a working group in the GTEX Project led by Andrew and Fred Wright. A few of my publications are below – check my Google Scholar for others. You can also find me in Google corp spaces such as my persons page and this blog post.
I also have a second life as a musician. If you’re in the Bay Area and you like jazz, R&B, and hip-hop, come see me play: jpalomusic.com.
Publications
- Kazemi, Mehran; Fatemi, Bahar; Bansal, Hritik; Palowitch, John… “BIG-Bench Extra Hard“ (under review) (code & data)
- Havaldar, Shreya; Alvaria, Hamidreza; Palowitch, John… “Entailed Between the Lines: Incorporating Implication into NLI“ (to appear in *ACL) (code & data)
- Palowitch, John; Alvari, Hamidreza; Kazemi, Mehran; Amin, Tanvir; Radlinski, Filip. “SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web“ (to appear at ICWSM 2025) (data)
- Palowitch, John; Tsitsulin, Anton; Mayer, Brandon; Perozzi, Bryan. “GraphWorld: Fake Graphs Bring Real Insights For GNNs” KDD 2022 (code)
- Palowitch, John; Perozzi, Bryan; “MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit” 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (code)
- Palowitch, John; “Computing the statistical significance of optimized communities in networks.” Nature Scientific Reports, 9, 2019
- Palowitch, John; Bhamidi, Shankar; Nobel, Andrew B. “Significance-based community detection in weighted networks.” Journal of Machine Learning Research, 18(188), 2018