Yuxiao Yao

Job Description:

• Conducted AI-driven medical imaging research, focusing on Norberg angle prediction in veterinary radiology.
• Developed and optimized deep learning models using RTMDet and RTMPose for keypoint detection in radiographic images.
• Processed and analyzed DICOM medical images, enhancing data annotation and pre-processing pipelines.
• Applied computer vision techniques to automate hip dysplasia assessment in canines.
• Collaborated with veterinary researchers to validate AI predictions against clinical diagnoses.
• Contributed to the AI model development for a Springer Nature manuscript, assisting researchers in implementing deep learning techniques for Norberg angle measurement.

Teaching Assistant – Data Acquisition & Management

• Assisted the professor in designing Python-based assignments covering data acquisition, preprocessing, and management.
• Helped students understand the core concepts and real-world significance of data handling and database management.
• Provided coding support and debugging assistance in Python, focusing on Pandas, NumPy, and API data extraction.
• Held office hours to answer questions, clarify lecture topics, and guide students in implementing ETL workflows.
• Collaborated with the professor to develop teaching materials and coding exercises, ensuring students gained hands-on experience with data processing techniques.

Job Description:

• Assisted students in understanding numerical computation methods, including root-finding, interpolation, and numerical integration.
• Provided tutoring and held office hours to clarify mathematical concepts and assist with coursework.
• Graded assignments and projects, offering constructive feedback to enhance students' problem-solving skills.
• Supported the professor in preparing lecture materials and coding demonstrations using Python (NumPy, SciPy, Matplotlib)