Research student at Kyoto University passionate about medical imaging, with strong mathematical foundations and advanced programming skills. I combine research experience in unsupervised anomaly detection for brain MRI with 5+ years of industry experience deploying ML systems in production environments.
- 🌍 Based in Kyoto, Japan (Originally from Lima, Peru)
- 🎓 Research Student at Kyoto University - Intelligence Science and Technology
- 🧠 Research focus: Unsupervised Anomaly Detection in Brain MRI using VAEs and Diffusion Models
- 🖥️ Portfolio: cristianlazoquispe.github.io/my-portfolio-cris
- ✉️ Contact: clazoq@uni.pe
- 📄 ORCID: 0000-0001-8584-4939
- 🥇 Top 7% WiDS Datathon 2025 (1k+ participants)
- 🥇 1st Place - Ferreyros Forecasting Datathon 2024
- 🥈 2nd Place - Marine Audio Recognition Datathon 2022
- 🥇 Top 3% WiDS Datathon 2022 (10k+ participants)
Under Review:
- SignERT: An Efficient Pretraining-Free Pose-Based Transformer for Sign Language Recognition (WACV 2026)
Accepted/Published:
- Cascaded Coarse-to-Fine Segmentation for Hippocampal Structures (RISE Challenge @ MICCAI 2025)
- Robust Multi-Label Classification of MRI Artifacts via View-Conditional Dual-Task Learning (LISA Challenge @ MICCAI 2025)
- WholeBodyPose: Unified End-to-End Framework for Sign Language Recognition (ICMV 2025)
- Real-Time Face Tracking and Vector Databases for Scalable Face Recognition (TechDev 2025)
Specializations: Medical Image Analysis (MRI, X-Ray, CT), Pose Estimation, Anomaly Detection, 3D Reconstruction, Semantic Segmentation
Medical Imaging Tools: 3D Slicer, MITK, MeshLab
Frameworks: Scikit-learn, HuggingFace, MLFlow, Transformers
Tools: GitHub Actions, Databricks, Remote HPC, Multi-GPU Training
Platforms: Jetson Nano, Triton, ONNX, Raspberry Pi 4, ESP32
| Repository | Description | Tech Stack |
|---|---|---|
| rise-miccai-challenge2025 | Hippocampal segmentation in low-field neonatal MRI | PyTorch, MONAI |
| lisa-challenge2025-task1 | Multi-label MRI artifact classification | PyTorch, Deep Learning |
| Repository | Description | Tech Stack |
|---|---|---|
| WholebodyPoseEstimation | End-to-end SLR framework with pose estimation | PyTorch, Transformers |
| Spoter-SL | Pose-based transformer for sign language | PyTorch, MediaPipe |
| SL_ConnectingPoints | First bilingual Peruvian Sign Language dictionary | CLIP, Transformers |
| Repository | Description | Tech Stack |
|---|---|---|
| MNIST-diff-flow-matching | Diffusion models & flow matching implementations | PyTorch, DDPM, Flow Matching |
| CaptionMatching | Multimodal image-text matching (CLIP, DeepSeek) | PyTorch, CLIP, BERT |
| MultimodalMemes | Multimodal meme understanding | PyTorch, Vision-Language Models |
| FourierDrawing | Creative visualization using Fourier transforms | Python, NumPy |
| Repository | Description | Tech Stack |
|---|---|---|
| Stringer-project | Visual cortex dynamics & spontaneous behavior analysis | Python, Neural Data Analysis |
| Repository | Description | Tech Stack |
|---|---|---|
| build-ml-pipeline-for-short-term-rental-prices | End-to-end ML pipeline for price prediction | Python, MLflow, Scikit-learn |
| skin-lesion-segmentation-using-pix2pix | Medical image segmentation using GANs | PyTorch, Pix2Pix |
| project-covid-detection-utec | COVID-19 detection from chest X-rays | PyTorch, CNN |
| Repository | Description | Tech Stack |
|---|---|---|
| ML-kubernetes-sample | ML deployment on Kubernetes | K8s, Docker |
| ML-Mnist-kubernetes | MNIST serving with Kubernetes | Python, K8s, FastAPI |
| ML-triton-kubernetes | Model serving with Triton Inference Server | Triton, K8s, Docker |
| ML-cicd-demo-kubernetes | CI/CD pipeline for ML models | GitHub Actions, K8s |
| Repository | Description | Tech Stack |
|---|---|---|
| CSES-solution | CSES problem set solutions | C++, Algorithms |
- Kyoto University - Research Student in Intelligence Science and Technology (2024-2025)
- MIT-BREIT - Advanced MicroMaster Program in Statistics and Data Science (2020-2021)
- Universidad Nacional de Ingeniería - BSc in Mechatronic Engineering, GPA A+
- Oxford Machine Learning Summer School (2025)
- Neuromatch Academy - Computational Neuroscience Program (2022)
- Spanish: Native
- English: Advanced
- Japanese: Elementary
"Combining rigorous research with practical ML engineering to advance medical AI"