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| Ed Chi | |
|---|---|
| Name | Ed Chi |
| Fields | Human–computer interaction; social computing; machine learning; information visualization |
| Workplaces | Google; Palo Alto Research Center; Carnegie Mellon University; Stanford University |
| Alma mater | Carnegie Mellon University |
| Known for | Recommender systems; information foraging; social churn analysis; visualization of large datasets |
Ed Chi Ed Chi is a researcher and practitioner in human–computer interaction and social computing known for contributions to recommender systems, information visualization, and applied machine learning. He has held leadership roles at major technology research labs and academic institutions, collaborating with researchers across computer science, cognitive science, and design. His work spans industry research, startup formation, and mentorship of doctoral researchers.
Chi completed undergraduate and graduate studies at Carnegie Mellon University, a leading research university in Pittsburgh, Pennsylvania. At Carnegie Mellon he studied under advisors and collaborators associated with the Human–Computer Interaction Institute and the School of Computer Science. His doctoral work connected to topics in information visualization, recommender systems, and cognitive models developed in collaboration with faculty linked to Herbert A. Simon-influenced labs. During his formative years he engaged with conferences such as CHI (conference), ACM SIGIR, and ACM SIGKDD, building networks with scholars from Stanford University, Massachusetts Institute of Technology, and University of California, Berkeley.
Chi has published in venues including Proceedings of the ACM on Human-Computer Interaction, ACM CHI Conference on Human Factors in Computing Systems, ACM SIGIR Conference, ACM SIGKDD Conference, and ACM Transactions on Computer-Human Interaction. He held research positions at Palo Alto Research Center (PARC), where he worked alongside researchers from Xerox PARC and collaborated with teams connected to Stanford Research Institute. He has collaborated with faculty and students from University of Washington, Georgia Institute of Technology, University of Illinois Urbana-Champaign, and University of Michigan. His academic network includes ties to researchers affiliated with Microsoft Research, IBM Research, Bell Labs, and AT&T Labs.
In industry, Chi held leadership roles at Google, contributing to projects that intersected with product teams in YouTube, Google Play, and Google Research. His industry work involved cross-functional collaboration with engineering and design teams at companies such as Facebook, Twitter, LinkedIn, and Amazon. He has been involved in startup incubation and advised ventures associated with accelerators like Y Combinator and 500 Startups. Chi's entrepreneurial engagements connected him with venture capital firms and technology incubators in Silicon Valley, including partnerships with groups near Stanford University and University of California, Berkeley.
Chi's research contributions include work on recommender systems, social data analysis, and visualization techniques for large-scale interaction logs. He produced influential studies on information foraging models related to user behavior, aligning with foundational work from researchers associated with Paul Dourish and Don Norman traditions at PARC and Indiana University Bloomington. His publications explored models for collaborative filtering, clickstream analysis, and session-based recommendation, resonating with scholarship from Yehuda Koren, Jure Leskovec, Bing Liu, and Jon Kleinberg. He developed visualization systems and interaction analytics used to explore social networks, leveraging methods employed in research from Cynthia Dwork-adjacent privacy studies and algorithmic fairness debates at Harvard University and Princeton University. Notable papers evaluated online community dynamics, churn, and content propagation, paralleling work from scholars at Cornell University and University of California, San Diego. Chi's methodological contributions fused techniques from machine learning research groups at Carnegie Mellon University and Stanford University with interface design approaches prominent at MIT Media Lab.
Chi's work has been recognized at conferences such as CHI (conference), KDD, SIGIR, and WWW (conference), receiving best paper and distinguished paper nominations. He has been invited to serve on program committees for ACM CHI, ACM SIGIR, and ACM SIGKDD, and has held visiting scholar affiliations with institutions like Stanford University and Carnegie Mellon University. His contributions earned him honors from research organizations connected to ACM and professional societies that include membership or fellowship-level recognition in community activities linked to IEEE and Association for Computing Machinery chapters.
Outside his professional pursuits, Chi has engaged with communities and events in Silicon Valley and Palo Alto, participating in panels with technologists from Google, Facebook, and Apple. His interests intersect with design and data ethics conversations hosted by groups at Stanford Graduate School of Business and Harvard Kennedy School, and he has mentored students affiliated with programs at Carnegie Mellon University and University of California, Berkeley. He participates in academic and industry workshops connected to conferences such as CHI (conference) and KDD, often collaborating with researchers from University of Toronto and University of Oxford.
Category:Human–computer interaction researchers Category:Carnegie Mellon University alumni Category:Google employees