AI Training & Hiring Support
Upskilling Data Scientists in Responsible AI
Developed and delivered a comprehensive training session on Responsible AI for a patient safety startup looking to implement its first AI features. The session covered key topics, including fairness, transparency, and governance, in both traditional machine learning and generative AI contexts. Emphasized real-world application of ethical principles, introduced toolkits for explainability and robustness, and connected evolving regulatory frameworks to daily development practices.
Building Analytical Talent Pipelines in Health Tech
Supported the creation of a junior statistical and health data research role within a surgical analytics company. Delivered end-to-end hiring support—from crafting a clear job description to advising on required qualifications, compensation benchmarks, and candidate sourcing strategies. The goal was to attract analytical talent capable of ensuring methodological rigor, reproducibility, and transparency across health IT workflows.
Foundational AI Training Across Sectors
Facilitated a multi-module training program for new AI practitioners across diverse industries. The curriculum introduced core technical concepts, including Python programming, cloud computing fundamentals, and the machine learning lifecycle. Designed for accessibility and practical relevance, the sessions helped early-career professionals and cross-disciplinary teams gain confidence in navigating data-driven workflows, supporting scalable AI adoption with a strong conceptual and ethical foundation.