Nasanbayar Ulzii-Orshikh
CV (11/2025) Twitter Bluesky
nulziior@umich.edu
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I am a PhD candidate at the University of Michigan’s School of Information, advised by Mark Ackerman and Justine Zhang. I work within critical HCI and NLP domains and am currently interested in developing theoretical frameworks for and designing human-centered evaluations of AI systems (e.g. text-to-image). I double-majored in Philosophy (analytic+continental) and Computer Science (algorithmic fairness) at Haverford College.
Currently, I'm interning at Meta FAIR under Levent Sagun. Previously, I researched fairness notions within network settings under Sorelle Friedler and audited low-resource language datasets with Google Research and Masakhane NLP. I also interned in Adish Singla's Machine Teaching group at the Max Planck Institute for Software Systems and studied computational thinking with Natalie Rusk and John Dougherty at the MIT Media Lab.
PUBLICATIONS
Generative Cultural Erasures in GenAI-Mediated Articulation
Nasanbayar Ulzii-Orshikh, Mark Ackerman, Justine Zhang
In Submission
Published:
The curious case of culturally-aware AI: The need for CSCW methods in AI evaluations
Nasanbayar Ulzii-Orshikh, Justine Zhang, Mark S Ackerman
In Proceedings of the 24th EUSSET Conference on Computer-Supported Cooperative Work (ECSCW), 2026
The Subject(s) of Representational Harm
Nasanbayar Ulzii-Orshikh, Mark Ackerman, Justine Zhang
In Synthetic Data: Representation and/vs Representativeness workshop, Aarhus Conference 2025
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Isaac Caswell, Julia Kreutzer, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, et al.
In Transactions of the Association for Computational Linguistics (TACL), 2022
Previously, in AfricaNLP Workshop, EACL, 2021
Clustering via Information Access in a Network
Hannah Beilinson*, Nasanbayar Ulzii-Orshikh*, Ashkan Bashardoust, Sorelle Friedler, Carlos Scheidegger and Suresh Venkatasubramanian
In arXiv:2010.12611, 2022
[Github]
Iteration with Intention: Project-Based Learning of Computational Thinking
Nasanbayar Ulzii-Orshikh and John Dougherty
In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (SIGCSE), 2020
[In Proceedings] [Poster]
Maladaptive Coping Predicts Fixed Mindset in Asian Students
Jenny Yu, Nasanbayar Ulzii-Orshikh, Meredith A. Henry, Louise K. Charkoudian, Benjamin Le, Lisa A. Corwin, and Jennifer M. Heemstra
In Abstracts of the Southeastern Teaching of Psychology Conference (SETOP), 2020
Multispectral imaging reveals the design of iridescent visual signals in peacocks & related pheasants
Kane, S.A., Xia, S., Fang, R., Lu, Y., Ulzii-Orshikh, N., Wu, J., Dakin, R.
In Abstracts of the Society for Integrative and Comparative Biology Conference (Oxford University Press), 2020
SELECTED INDUSTRY EXPERIENCE
Product Manager Intern, Tomujin Digital
Researched the commercial potential of YODA, a $2,000,000 in valuation digital counseling platform for low-income college applicants, and launched its early release, achieving a 93% conversion rate for students and 79% for counselors.
Chief Technology Officer, One Minute
Co-founded an ed-tech social enterprise, valued at $50,000 by Shark Tank, to change the way rural Mongolian students plan their education. Currently at 25,000 followers on Facebook.
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