I am the CTO at AlgorithmLabs. I'm passionate about building AI application builders that let non-technical users—people without an IT or AI background—easily and quickly create the tools they envision. More recently, I've been especially interested in enabling users to build their own AI agents that assist with their day-to-day work. As part of this mission, I design and develop AI Canvas.

I earned my Ph.D. from KAIST, majoring in Human-Computer Interaction (HCI) under Prof. Juho Kim.

Education

Ph.D.
Korea Advanced Institute of Science and Technology (KAIST)
School of Computing
ThesisSupporting LLM-Powered Iterative Text Generation through a Requirement-Centered Approach Outstanding Thesis Award
AdvisorProf. Juho Kim
 2019.3 - 2026. 2.
M.S.
Korea Advanced Institute of Science and Technology (KAIST)
School of Computing
ThesisUnderstanding the Effect of In-Video Prompting on Learners and Instructors Outstanding Thesis Award
AdvisorProf. Juho Kim
 2017.3 - 2019.2
B.S.
Pohang University of Science and Technology (POSTECH)
Computer Science & Engineering Summa Cum Laude
 2011.3 - 2015.2

Work Experience

Research Intern Creative Intelligence Lab, Adobe, Cambridge, MA
Designed a tool for easily authoring slides based on documents.		 2018.6 - 2018.9
Software Intern PGX Team, Oracle, Redwood City, CA
Worked on improving performance of subgraphs loading into memory. Introduced the concept of the auto filter, released in the product.		 2015.12 - 2016.3
Software Intern Transactions Team, SAP, Seoul, South Korea
Analyzed the performance and efficiency of garbage collector in SAP HANA. Published in SIGMOD 2016.		 2016.7 - 2016.8

Publications

  • Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews
    Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, Nayoung Kim, Hyunseung Lim, Ji Yong Cho, Hwajung Hong, Moontae Lee, Juho Kim
    EMNLP 2025 SAC Highlight Award
    ACL Anthology
  • PANORAMA: A Dataset and Benchmark Tasks Capturing the Evaluation Trails and Rationales in Patent Examination
    Hyunseung Lim, Sooyohn Nam, Sungmin Na, Ji Yong Cho, June Yong Yang, Hyungyu Shin, Yoonjoo Lee, Juho Kim, Moontae Lee, Hwajung Hong
    NeurIPS 2025 Datasets & Benchmarks
    arXiv
  • PlanTogether: Facilitating AI Application Planning Using Information Graphs and Large Language Models
    Dae Hyun Kim, Daeheon Jeong, Shahnoza Yadgarova, Hyungyu Shin, Jinho Son, Hariharan Subramonyam, Juho Kim
    CHI 2025
    ACM DL| Project Website
  • AINeedsPlanner: A Workbook to Support Effective Collaboration Between AI Experts and Clients
    Dae Hyun Kim, Hyungyu Shin, Shakhnozakhon Yadgarova, Jinho Son, Hariharan Subramonyam, Juho Kim
    DIS 2024
    ACM DL
  • Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion
    Hyunseung Lim, Ji Yong Cho, Taewan Kim, Jeongeon Park, Hyungyu Shin, Seulgi Choi, Sunghyun Park, Kyungjae Lee, Juho Kim, Moontae Lee, Hwajung Hong
    DIS 2024
    ACM DL
  • Teach AI How to Code: Using Large Language Models as Teachable Agents for Programming Education
    Hyoungwook Jin, Seonghee Lee, Hyungyu Shin, Juho Kim
    CHI 2024 Best Paper Honorable Mention Award
    PDF| ACM DL| Project Website
  • AlgoSolve: Supporting Subgoal Learning in Algorithmic Problem-Solving with Learnersourced Microtasks
    Kabdo Choi, Hyungyu Shin, Meng Xia, Juho Kim
    CHI 2022
    PDF| ACM DL| Presentation Video| Project Website
  • ProtoChat: Supporting the Conversation Design Process with Crowd Feedback
    Yoonseo Choi, Toni-Jan Keith Monserrat, Jeongeon Park, Hyungyu Shin, Nyoungwoo Lee, Juho Kim
    CSCW 2020
    PDF | ACM DL | Project Website
  • Understanding the Effect of In-Video Prompting on Learners and Instructors
    Hyungyu Shin, Eun-Young Ko, Joseph Jay Williams, Juho Kim
    CHI 2018
    PDF | ACM DL | Video Preview | Slide
  • Hybrid Garbage Collection for Multi-Version Concurrency Control in SAP HANA
    Juchang Lee, Hyungyu Shin, Chang Gyoo Park, Seongyun Ko, Jaeyun Noh, Yongjae Chuh, Wolfgang Stephen, Wook-Shin Han
    SIGMOD 2016
    ACM DL
  • Taming Subgraph Isomorphism for RDF Query Processing
    Jinha Kim, Hyungyu Shin, Wook-Shin Han, Sungpack Hong, Hassan Chafi
    VLDB 2015
    ACM DL

Posters and Workshops

  • Towards an Evaluation of LLM-Generated Inspiration by Developing and Validating Inspiration Scale
    Hyungyu Shin, Seulgi Choi, Ji Yong Cho, Sahar Admoni, Hyunseung Lim, Taewan Kim, Hwajung Hong, Moontae Lee, Juho Kim
    CHI 2024 Workshop on Human Centered Evaluation and Auditing of Large Language Models
    PDF|
  • XDesign: Integrating Interface Design into Explainable AI Education
    Hyungyu Shin, Nabila Sindi, Yoonjoo Lee, Jaeryoung Ka, Jean Y. Song, Juho Kim
    SIGCSE 2022 Poster
    Project Website | PDF | ACM DL
  • AlgoPlan: Supporting Planning in Algorithmic Problem-Solving with Subgoal Diagrams
    Kabdo Choi, Sally Chen, Hyungyu Shin, Jinho Son, Juho Kim
    Learning at Scale 2020 Work-in-Progress
    PDF
  • Leveraging the Crowd to Support the Conversation Design Process
    Yoonseo Choi, Hyungyu Shin, Toni-Jan Keith Monserrat, Nyoungwoo Lee, Jeongeon Park, Juho Kim
    CHI 2020 Workshop on CUI@CHI: Mapping Grand Challenges for the Conversational User Interface Community
    PDF
  • Supporting an Iterative Conversation Design Process
    Yoonseo Choi, Hyungyu Shin, Toni-Jan Keith Monserrat, Nyoungwoo Lee, Jeongeon Park, Juho Kim
    CHI 2020 Extended Abstracts (Late Breaking Work)
    PDF

Honors and Awards

Programming Contest 5th place, ACM-ICPC Asia Daejeon Regional 2011, 2012
1st place, POSTECH Programming Contest 2011
3rd place, Korea Olympiad in Informatics 2010