Hire Ye-sel L. - Machine Learning Engineer

Built end-to-end ML pipelines for multimodal clinical data (EMG biosignals, EHR features, clinical images), covering data ingestion, preprocessing, feature engineering, model training, and evaluation, to support the development of AI-driven multimodal biomarkers.

Graduate student researcher at Prof. Shamim Nemati's lab(https://www.nematilab.info/index.html) Research on developing multimodal risk predictive algorithms and computational tools to analyze various medical data and predict patients' outcome

* Optimized the model validation process by reducing time complexity by 60%, achieved through strategic grouping of model loads based on the prediction task - Developed algorithm to validate robustness of pose estimation model by transforming objects’ width and height ratio (human body ratio) in input images, ensuring reliable performance across various scenarios - Developed lightweight attention-based model(spatial/channel attention) for deep learning-based 3d-pose estimation