I’m a software engineer at the Internet Archive working on information retrieval and data mining. Previously I was a Research Scientist at Google DeepMind interested in language, graphs, and information ecosystems. A few of my publications are below – check my Google Scholar for others.
At Google I was an active organizer with No Tech For Apartheid, and I remain involved on a regular basis. I am one of the few x-workers helping the current employees with their campaigns, most recently www.googlers-against-ice.com. If you are a Googler and would like clarity from leadership on why their Cloud and AI tech are being used by ICE and CBP while those entities are terrorizing U.S. communities, please sign that (anonymous) petition. I have recently been featured in TIME magazine to talk about my work on Gemini, organizing with NOTA, and the amazing work of the current NOTA organizers who are still working full-time as Google employees.
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.
Selected publications
- Kazemi, Mehran; Fatemi, Bahar; Bansal, Hritik; Palowitch, John … . “BIG-Bench Extra Hard” (ACL 2025) (code & data)
- Havaldar, Shreya; Alvaria, Hamidreza; Palowitch, John … . “Entailed Between the Lines: Incorporating Implication into NLI” (ACL 2025) (code & data)
- Palowitch, John; Alvari, Hamidreza; Kazemi, Mehran; Amin, Tanvir; Radlinski, Filip. “SocialQuotes: Learning Contextual Roles of Social Media Quotes on the Web” (ICWSM 2025) (data)
- Yoon, Minji; Palowitch, John; Zelle, Dustin; Hu, Ziniu; Salakhutdinov, Ruslan; Perozzi, Bryan. “Zero-shot transfer learning within a heterogeneous graph via knowledge transfer networks” (NeurIPS 2022)
- 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
- 2016/09/15 GLMMs with Cersei Lannister