Portrait of Izzy Wagenvoord

Isabelle (Izzy) Wagenvoord

I am a computer science paraprofessional at the Mathematics and Computer Science department at Colorado College, where I hold office hours for all core introductory and advanced CS courses, and assist with administrative duties and communications. Last May, I received the Stephen Janke Prize from Colorado College for the top graduating senior in computer science. I have completed 3 NSF-funded summer research internships on remote sensing, time series analysis, vector representations, and machine learning for medical image analysis. My research interests are primarily in computer vision and machine learning.

publications

Census2Vec: Enhancing Socioeconomic Predictive Models with Geo-Embedded Data

Intelligent Systems Conference (IntelliSys 2024)
[Paper] [PDF]

Understanding Nationwide Power Outage and Restoration for Future Prediction

Smoky Mountains Computational Sciences and Engineering Conference Data Challenge (SMCDC 2023)
[Paper] [PDF]

experience

AUGUST 2025 — MAY 2026

Computer Science Paraprofessional | Colorado College

Hold office hours for all core introductory and upper level CS courses, assist faculty, communicate and organize department events, and fulfill administrative duties.

Teaching
Administration
Event Planning

JANUARY 2025 — MAY 2025

Quantitative Reasoning Center Tutor | Colorado College

Hold office hours for Theory of Computation and Computer Science II and work weekly shifts during drop-in hours at quantitative reasoning center to answer homework questions.

Tutoring
Java
Python

MAY 2024 — AUGUST 2024

Research Intern | Michigan State University

Fine-tuned pre-trained 3D SwinUNETR (Swin transformers and U-Net architectures) computer vision machine learning model using lab dataset of 56 clinically annotated post-surgery MRI images of brain tumor patients.

Python
PyTorch
Medical Image Analysis

MAY 2023 — AUGUST 2023

Research Intern | University of North Texas

First coauthor on paper analyzing 8 years of nationwide power outage time-series data for 3000+ counties by algorithmically identifying outage events and finding seasonal patterns using Python and Jupyter. Integrated and analyzed with socioeconomic data. Trained and optimized 10 autoencoders for academic study using TensorFlow and Optuna on host university’s supercomputing cluster.

Python
PyTorch
Medical Image Analysis

MAY 2022 — MAY 2024

Research Intern | University of Illinois Urbana–Champaign

Optimized coefficients for irrigation statistical models with Pymoo, Python, and Pandas, preprocessed Sentinel-1 satellite imagery into a 300-raster time series, and built linear models (R2 up to 0.67) to predict rice leaf area index from remote-sensing data.

Python
Pymoo
Remote Sensing
Satellite Imagery

awards

  • Stephen Janke Prize in Computer Science, Colorado College 2025
    Awarded to the graduating senior who best demonstrates exceptional talent, breadth of achievement, and academic excellence in Computer Science.
  • Fulbright Research Semifinalist (Selected as Alternate Candidate) 2025
    Proposal: Using NeRFs and Gaussian Splatting for adversarial self-driving environment simulation with Professor Florian Shkurti at University of Toronto, Canada.
  • Best Poster Award, Smoky Mountains Computational Sciences and Engineering Data Challenge 2023
  • Colorado College Euclid Scholarship 2022
    Awarded to students who show exceptional promise in mathematics or computer science (17 out of 112 nominations).