Renee (Hui Xin) Ng's Linkedin Analytics

🔠 my ABCD's: ☑️applied machine learning 📜 evaluated model performance and conducted cross-validation studies to assess the generalizability and reliability of machine learning-based digital biomarkers across patient populations. use r and python to preprocess, analyze, and visualize multimodal data sources, including neuroimaging scans and clinical data 🧰 apply interpretable/explainable ml methods (backprop, SHAP) to reveal to understand how features contribute to predictions in order to enhance transparency and trust in the predictions ☑️ brain biomarkers 🧠 project-managed a collaboration of 80+ researchers worldwide by incorporating diverse feedback and implementing statistical analysis (glme, logistic regression) 🗝️ collaborated with interdisciplinary teams of physicians, clinical psychologists, and engineers to design and validate machine learning-based digital biomarkers. ☑️clinical research 🗂️coordinated resource and data sharing efforts for multiple research consortia (~ 28 sites) and research groups across the world. 📊 utilized behavioral science and UX principles to conduct A/B testing for national institute of health-funded menopause education resource, my menoplan (dot) org, which was major news outlets such as national geographic. ☑️ development and operations 💻technical leadership in developing standards and protocols for storing, describing, and sharing clinical data. 🛠️ proficiency in developing tools, writing code documentation, curating data, and maintaining project websites and data portals 🐧 leveraged Linux shell scripting for automating data processing tasks and system administration and utilized Docker and Singularity for containerizing applications and services, enabling reproducible and portable environments 🤝 experience with collaborative development and version control systems like git, github, gitlab.