cv

Academic CV and selected experience.

Basics

Name Doeun Kim
Label M.S. Computer Science Student
Email doeunkim@usc.edu
Github github.com/doeunyy
Linkedin linkedin.com/in/doeun-kim
Interest Machine Learning, AI for Healthcare and Biomedicine, Explainable AI, Multimodal Learning, Generative Models

Education

  • 2025.06 - Present

    Los Angeles, CA

    University of Southern California
    M.S. in Computer Science
    • Expected December 2026
    • GPA: 3.82 / 4.0
    • Relevant coursework: Machine Learning, Deep Learning, Applied NLP, Information Retrieval & Web Search, Algorithms
  • 2022.08 - 2022.12

    San Jose, CA

    San Jose State University
    International Student Exchange Program, Computer Science
    • Relevant coursework: Introduction to AI, Formal Language and Computability
  • 2020.03 - 2025.02

    Seoul, South Korea

    Ewha Womans University
    B.S. in Computer Science and Engineering & B.S. in Content Convergence
    • GPA: 4.21 / 4.3 (Top 4%, Summa Cum Laude; Dean's List, all semesters)
    • Undergraduate thesis: Layer-Adaptive Quantization of Diffusion Models using Fisher Information
    • Relevant coursework: Data Structures, Algorithms, Computer Architecture, Operating Systems, Database, Software Engineering

Research Experience

  • 2025.11 - Present

    Los Angeles, CA

    Graduate Research Assistant
    University of Southern California
    Laboratory for Machine Learning, Health and Biomedicine
    Advisor: Prof. Ruishan Liu
    • Developed AI-driven deimmunization methods for synthetic binders, identifying high-immunogenicity peptide regions and suggesting amino acid substitutions to reduce predicted immunogenicity while preserving binding affinity.
    • Built an interactive research pipeline for HLA-specific peptide scanning and population-aware immunogenicity analysis, using FastAPI, Gradio, RabbitMQ, peptide-level score caching, and beam search to support efficient and scalable evaluation.
  • 2024.04 - 2025.02

    Seoul, South Korea

    Undergraduate Researcher
    Ewha Womans University
    AI Computing Platform Lab
    Advisor: Prof. Jaehyeong Sim
    • Led research on Fisher-guided layer-adaptive quantization for diffusion models, reducing model size by 49.4% while improving FID by 7%; presented the work at the 2024 IEIE Symposium as a co-first author and presenter.
    • Conducted a DDPM interpretability study using Integrated Gradients, GradSHAP, and Occlusion to analyze the model's generation process across timesteps, showing a progression from global outlines to fine details; presented at the KCC 2024 XAI Workshop as the only undergraduate-led team.

Publications

  • 2024.12.27
    Layer-Adaptive Quantization on Diffusion Models using Fisher Information
    2024 Symposium of the Institute of Electronics and Information Engineers, Seoul, South Korea
    Kim, D., Byeon, J., Park, I., & Sim, J. Poster presentation. Co-first author and presenter.
  • 2024.06.27
    Analysis of Diffusion Model Inference Mechanisms Using XAI Techniques
    KCC 2024 XAI Workshop, Jeju, South Korea
    Kim, D., Byeon, J., & Park, I. Poster presentation. Co-first author and presenter.

Projects

  • 2026.01 - Present
    Multimodal Entrance Detection System
    Multimodal geospatial entrance detection using aerial imagery, street-view images, GPS trajectories, and building footprint overlays.
    • Contributed to DoRA-based Qwen fine-tuning and API-based in-context learning experiments for multimodal entrance detection with geospatial inputs.
    • Developed GPS-aware reranking across 64 candidate entrance locations, improving F1 from 0.30 to 0.59 and AUPR from 0.17 to 0.45.
  • 2025.08 - 2025.12
    PokerBench
    Small language model training and evaluation for poker decision-making under uncertainty.
    • Fine-tuned Qwen3, LLaMA-3.2, and Gemma variants using QLoRA and LoRA adapters on approximately 560K solver-labeled samples.
    • Built an evaluation pipeline for instruction-following under uncertainty, comparing model performance against larger proprietary baselines using Action Accuracy and Exact Match.
  • 2025.01 - 2025.02
    TalesRunner
    AI-powered storybook generation from user-provided images.
    • Developed a generation pipeline combining BLIP-based image captioning, fine-tuned KoT5 story generation, and GPT-4o-assisted text refinement.
    • Integrated captions, story text, and user images into downloadable PDF storybooks, validating narrative quality, image-text alignment, and formatting consistency across 100+ test cases.
  • 2024.12 - 2025.02
    Jeans
    AI-assisted photo editing and sharing service designed for senior users.
    • Led a 5-member team in developing AI features including fine-tuned Whisper for Korean dialect speech recognition and YOLO/FaceNet-based facial recognition.
    • Deployed FastAPI-based ML inference services on AWS EC2 with GitHub Actions CI/CD, refining speech-driven interaction flows through senior user interviews and usability tests.

Professional Experience

  • 2021.05 - 2022.07

    Seoul, South Korea

    Software Engineer Intern (Full-stack)
    RainbirdGEO
    • Developed full-stack features for a weather-forecasting mobile app using React Native and Node.js/Express, supporting pilot deployment and usability testing in Southeast Asian regions.
    • Conducted product analysis using user feedback, competitor research, and 2,000+ survey responses, creating Tableau dashboards and contributing to improvements in satisfaction scores and forecast accuracy.

Teaching & Mentoring

  • 2025.09 - Present
    Viterbi Graduate Mentor / Women in Engineering Mentor
    USC Viterbi School of Engineering
    Mentoring incoming and women graduate students on academic planning, research involvement, and transition to graduate student life.
  • 2023.09 - 2025.05
    Instructional Assistant (Part-time)
    Scholar English - Private English Academy
    Supported instructional operations across grading, curriculum revision, and student communication, while developing a custom GPT-based chatbot to improve workflow efficiency.
  • 2021.03 - 2021.12
    Volunteer Tutor
    Neulhaerang School - Inter-University Volunteering Org. (Ewha Womans Univ. & SNU)
    Taught weekly computer literacy classes for elementary students and created accessible learning materials for beginner learners.

Awards

  • 2025
    Individual Best Award
    SK Telecom FLY AI Program
    Awarded by SK Telecom FLY AI Program, run by South Korea's largest telecom company.
  • 2025
    Outstanding Project Award
    SK Telecom FLY AI Program
    Project award from SK Telecom FLY AI Program.
  • 2022-2024
    National Scholarship for Science and Engineering
    Korea Student Aid Foundation
    Full tuition merit-based scholarship for two years.
  • 2024
    Capstone Project Merit Award
    Ewha Womans University
    Awarded at Ewha Capstone Design Poster Session.
  • 2020-2024
    Honors Scholarship
    Ewha Womans University
    Awarded four times.
  • 2022
    International Study Scholarship
    Ewha Womans University
    Scholarship supporting international study.