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Alex D'Souza
Junior Machine Learning Researcher specializing in healthcare AI and security
Davis, CATeaching Assistant2 years experienceJuniorEducationHealthcareTechnology
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About
Research-focused AI/ML candidate who built an fMRI-based classifier to predict schizophrenia treatment effectiveness under small-dataset constraints. Demonstrated pragmatic model selection by moving from a complex GNN to graph-summary feature engineering with logistic regression, significantly improving accuracy and AUC; primarily works in Google Colab with script-based workflows.
Experience
Graduate Student Researcher, AIUniversity of California, Davis
Teaching AssistantUniversity of California, Davis
Undergraduate Researcher, Internet SecurityUniversity of California, Davis
Education
University of California, Davisbachelor, Computer Science (2024)
University of California, Davismaster, Computer Science
Key Strengths
- Improved model performance by simplifying from GNN to engineered graph-summary features + logistic regression
- Experience building high-accuracy classifiers on small, privacy-constrained medical datasets
- Strong focus on appropriate evaluation for imbalanced data (AUC over accuracy)
- Iterative experimentation across augmentation (Mixup), preprocessing, and hyperparameter/architecture choices
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