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Curated Kaggle projects in computational biology, medical imaging, data science and machine learning.

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Barry Wang · Biomedical Data Science & Kaggle Portfolio

I compete on Kaggle as handudu. This portfolio collects my biomedical competition work and selected projects in computational biology and medical imaging.

Biomedical Competition Results

Kaggle Competitions Expert (ranked 807 of 221,860; highest 540), with 7 silver and 4 bronze team competition medals; four of the silver medals are in biomedical imaging. Ranks are team ranks as listed on my Kaggle profile (October 2026). Full competition record

Competition Team rank Medal My role Code
BYU - Locating Bacterial Flagellar Motors 2025 15 / 1136 Silver Prepared slice-level training data and local validation, trained YOLO-family detectors, and built multi-model fusion with 3D non-maximum suppression. Notebook
Sartorius - Cell Instance Segmentation 26 / 1505 Silver Trained MMDetection instance segmentation models and tuned class-specific score thresholds, minimum mask sizes and overlap removal. Notebook
UW-Madison GI Tract Image Segmentation 29 / 1548 Silver Built slice-stacking preprocessing and case-grouped validation folds, trained segmentation models, and ensembled them with post-processing. —
RSNA Screening Mammography Breast Cancer Detection 46 / 1687 Silver Built DICOM preprocessing and ROI cropping, trained image classifiers, and ensembled models with decision-threshold selection for the probabilistic F1 metric. —

The linked notebooks are public notebooks I published during these competitions; they are not presented as the teams' final submissions.

Seven additional competition results
Competition Team rank Medal
WSDM Cup - Multilingual Chatbot Arena 27 / 950 Silver
Feedback Prize - Predicting Effective Arguments 42 / 1557 Silver
Feedback Prize - Evaluating Student Writing 87 / 2058 Silver
CMI - Detect Behavior with Sensor Data 160 / 2657 Bronze
Image Matching Challenge 2025 62 / 943 Bronze
Eedi - Mining Misconceptions in Mathematics 118 / 1446 Bronze
PetFinder.my - Pawpularity Contest 253 / 3537 Bronze

Selected Projects

Project What it shows
Knee Diagnostic Labels Without a Gold Standard Five public report-derived label sets for 4,349 knee MRI studies: aligning documented definitions for two sources resolves most of their disagreement, and simulations show how majority-vote references can favour models that share a labelling style. Results.
Image2Biomass: Validation Across Split Designs Image regression of pasture biomass under four fold designs. Mean weighted R² falls from 0.68 with random folds to 0.58 with sampling-date folds and 0.49 with species folds; full results.
RNA Sequence and Structure Exploration Exploratory analysis of RNA sequences and 3D coordinates; silver Notebook medal.
Coral Reef Object Detection with YOLOv5 and WBF Ecological image detection with weighted box fusion; bronze Notebook medal.
Other machine learning projects
Project What it shows
Time Series Validation for Tactical Allocation Rolling-window validation and hyperparameter selection for market prediction; bronze Notebook medal.
Multilingual Preference Prediction with Gemma and LoRA LoRA adapter inference with swapped-response augmentation; bronze Notebook medal.
Mathematical Reasoning with Code Execution Annotated study of a public code-execution solution.
Tabular Fraud Classification with CatBoost CatBoost baseline with stratified cross-validation.

Notebook medals are awarded for public notebooks and are separate from the competition results above.

Code is archived as published on Kaggle; data and weights are not included.

Archived notebook outputs · Sources and attribution

GitHub 공식 원본 저장소에서 아카이브된 문서 미러 · GitHub 저장소 방문
동기화 기준일: 2026-11-10