CV

Contact Information

Name Ryan Kim
Professional Title Incoming CS Undergrad, UIUC
Email ryankim17920@gmail.com
Phone 224-517-7069

Professional Summary

Incoming CS undergrad at UIUC with experience building clinical ML systems, computer vision models, and full-stack platforms.

Experience

  • 2025 - Present

    Stony Brook, NY

    Computational Genomics Research Fellow
    Yurovsky Lab, Stony Brook University (Simons Foundation)
    • Predicted glioblastoma survival rates by architecting a DNABERT-based prognostic model using Cox regression on non-coding regulatory DNA mutations.
    • Identified significant age-related survival signals and racial disparities encoded in mutational scores to improve model interpretability.
  • 2025 - Present

    Remote

    Lead Technical Developer
    MathLinks.org
    • Led engineering for a full-stack math competition platform serving 150,000+ users across 11 partner organizations; secured $20,000 in seed funding (Hudson River Trading, Innovate901 1st Place).
  • 2024 - 2026

    New York, NY

    Computational Oncology Research Intern
    Advanced Computing & Oncology Lab, Memorial Sloan Kettering
    • Engineered a CPU-only locally-deployed LLM-based clinical pipeline using LLaMA, Qwen, and DSPy to classify lung cancer CT reports across 370 cases; coauthored referral-event analysis abstract accepted at ACRO 2026 Summit.
    • Applied Cox regression and survival analysis on 230 patients’ clinical and demographic records to identify correlations between percent thymic tissue and NSCLC outcomes.
  • 2024 - Present

    New York, NY

    Pathology AI Research Intern
    AI in Medicine & Computational Biology Lab, Weill Cornell Medicine
    • Benchmarked 12 large pathology foundation models (e.g., UNIv2, Prov-GigaPath) across TCGA and internal cohorts, quantifying a 2x generalization gap in AI tumor-purity prediction and revealing clinical deployment risks.
  • 2024 - Present

    Remote

    Founder
    PapersToCode
    • Built an automated paper-to-GitHub matching pipeline across 500,000+ ML/AI papers, surfacing which papers lack public implementations.
    • Engineered infrastructure to facilitate reproducible implementations for ML research papers lacking public code.
  • 2023 - 2024

    Remote

    Full-Stack Developer
    Cyberlinc, Inc.
    • Engineered a secure full-stack crowdfunding platform using Flask and SQLAlchemy with integrated payment gateways for project funding.

Education

  • 2026 - 2029

    Urbana, IL

    B.S.
    University of Illinois Urbana-Champaign
    Computer Science
    • Incoming — expected May 2029
  • 2021 - 2026

    Palatine, IL

    William Fremd High School
    • AIME Qualifier (4x), Simons Fellow
    • Relevant Coursework: Linear Algebra, Multivariable Calculus, AP Statistics

Projects

  • micro-DINOv3

    Pure Python, Computer Vision

    • Implemented a DINOv3 self-supervised ViT training system in dependency-free Python with EMA teacher-student distillation, multi-crop augmentation, and iBot loss.
  • Deep Mixture of Experts Reproduction

    PyTorch, Computer Vision

    • Open-sourced a PyTorch reproduction of “Deep Mixture of Experts via Shallow Embedding” to fill critical gaps in public research implementation.
    • Verified model architecture against original paper results to contribute a verified codebase to the open-source community.

Leadership

  • 2021 - Present

    Palatine, IL

    Captain
    Fremd Math Team
    • Led a 60+ member team to 25+ regional/state top finishes by developing specialized curriculum and modernizing team operations.

Skills

Languages: Python, Java, C/C++, SQL (PostgreSQL), JavaScript, HTML/CSS, R
ML/Data Science: PyTorch, TensorFlow, DSPy, HuggingFace, Scikit-learn, Polars, Pandas, NumPy, Matplotlib, Ollama
Domain Expertise: Clinical NLP, Computational Oncology, Survival Analysis, Computer Vision
Web/Backend & Tools: React, NextJS, ExpressJS, Flask, FastAPI, MongoDB, SQLAlchemy, Git, Linux, Docker