Machine Learning · Software Engineering · Medical Imaging · Generative AI
I am a Computer Science master's student at the University of Southern California, building software for machine learning and medical imaging. My work includes evidence-grounded verification of LLM-agent repairs to training code, diffusion models for MRI translation, and computer vision systems.
- Interested in reliable ML systems, healthcare applications and generative AI
- Based in Los Angeles and open to Summer 2027 Machine Learning / Software Engineering / AI Engineer internships
Decides whether to accept the repairs that LLM agents make to deep-learning training code, judging each requirement from evidence recorded while the repaired project trains and from short probe runs. On a held-out test split of 180 repairs by five LLM agents for silent faults in pathology (Camelyon17-WILDS) and dermoscopy (HAM10000) pipelines, it accepted 0 of 16 wrong repairs and rejected 0 of 164 correct ones, sending 44 to human review; the strongest LLM reviewer accepted 2 wrong repairs (preliminary until a blind review of the labels).
Python PyTorch LLM Agents Computer Vision Medical Imaging
Developed a PyTorch conditional diffusion model for bidirectional T1/T2 MRI translation, combining anatomy-consistent structural guidance, cross-attention, classifier-free guidance, and a composite MSE + L1 + SSIM objective. Achieved up to 0.90 SSIM, 27.5 dB PSNR, and 0.986 NCC, with an open-source training and inference pipeline.
Python PyTorch Diffusion Models Medical Imaging Computer Vision
Adapted OnePose++ into a multi-sensor pipeline for estimating an object's 3D position and rotation. Built data-collection and preprocessing tools, a Python backend, and Vue.js / JavaScript visualizations for real-time pose tracking.
Python Computer Vision Pose Estimation Sensor Fusion Vue.js
- Lu, Z., Huang, M., & He, X. CMCD: Conditional Diffusion Model for Medical Image Modality Translation. International Conference on Neural Information Processing (ICONIP), 2026 (accepted). Code
- Fan, S., Lu, Z., Yan, Z., & Hu, L. Interactions of Three Berberine Mid-Chain Fatty Acid Salts with Bovine Serum Albumin (BSA): Spectroscopic Analysis and Molecular Docking. International Journal of Biological Macromolecules, 274, 133370, 2024.
Languages: Python, C++, C#, Java, JavaScript, SQL
Machine Learning & Vision: PyTorch, TensorFlow, Diffusion Models, Transformers, OpenCV, OpenPose
LLM & ML Systems: Gemini, Claude and OpenAI-compatible APIs, Tool Calling, LLM-as-Judge, Training Telemetry, Pydantic, pytest
Tools & Platforms: Git, Linux, Weights & Biases, Unity, Vue.js, Raspberry Pi, Arduino