About me

I’m a Ph.D. candidate in Computer Science at the University of Maryland, advised by Prof. MohammadTaghi Hajiaghayi. I am interested in mechanism design and market design, broadly construed, and their applications to classic economy, modern online platforms and generative AI. I also work on online algorithm, approximation algorithm, online learning (especially multi-armed bandits), and computational complexity.

Previously, I was a software/machine learning engineer at Coupang and LINE, and received my M.S./B.S. in electrical engineering/mathematics at KAIST.

I’m on the (academic job market) this year, searching for postdoc opportunities or faculty positions. Please feel free to reach out!

Selected Publications

^{($\alpha,\beta$ denotes alphabetical order of authorship)}

• Algorithmic Delegated Choice: Reading List, SIGecom Exchanges Vol 23.1
  • ^{$\alpha,\beta$}M. Hajiaghayi, S. Shin
• Optimal Contest for Recommender Systems, working paper (Job Market Paper)
  • ^{$\alpha,\beta$}N. Golrezaei, M. Hajiaghayi, S. Shin
  • Marketplace Innovation Workshop’25
  • Finalists, 2025 INFORMS PSOR best video competition
• Delegation with Costly Inspection, EC’25
  • ^{$\alpha,\beta$}M. Hajiaghayi, P. Krysta, M. Mahdavi, S. Shin
• Delegated Choice with Combinatorial Constraints, EC’25
  • ^{$\alpha,\beta$}K. Banihashem, M. Hajiaghayi, P. Krysta, S. Shin
• Tokenized Bandit for LLM Decoding and Alignment, ICML’25
  • S. Shin, C. Yang, H. Xu, M. Hajiaghayi
  • EC’25 workshop on Information Economics and LLMs
  • EC’25 workshop on Human-AI Collaboration
• Replication-proof Bandit Mechanism Design, AAAI’25 (oral)
  • S. Shin, S. Esmaeili, M. Hajiaghayi
• Gains-from-Trade in Bilateral Trade with a Broker, SODA’25
  • ^{$\alpha,\beta$}I. Hajiaghayi, M. Hajiaghayi, G. Peng, S. Shin
• Online Ads with LLMs: Opportunities and Challenges, SIGecom Exchanges Vol 22.2
  • ^{$\alpha,\beta$}S. Feizi, M. Hajiaghayi, K. Rezaei, S. Shin
• Ad Auctions for LLMs via Retrieval Augmented Generation, NeurIPS’24
  • ^{$\alpha,\beta$}M. Hajiaghayi, S. Lahaie, K. Rezaei, S. Shin
  • EC’24 workshop on Frontiers of Online Advertising: Autobidding, GenAI, and Beyond
• Dueling Over Dessert, Mastering the Art of Repeated Cake Cutting, NeurIPS’24
  • ^{$\alpha,\beta$}S. Branzei, M. Hajiaghayi, R. Phillips, S. Shin, K. Wang
  • Slides by Simina at WALE 24.
• Bandit Social Learning under Myopic Agents, NeurIPS’23
  • ^{$\alpha,\beta$}K. Banihashem, M. Hajiaghayi, S. Shin, A. Slivkins
  • EC’24 workshop on Information Acquisition
  • Best poster award at Annual Machine Learning Symposium’24
• Delegating to Multiple Agents, EC’23
  • ^{$\alpha,\beta$}M. Hajiaghayi, K. Rezaei, S. Shin