Tracey Li

Tracey Li is a seasoned data scientist with over ten years of experience in leveraging statistical, machine-learning, and programming tools to extract insights from real-world datasets to drive operational decisions and scientific research.

With a strong belief in empowering in-country staff, Tracey focuses on initiatives that utilize data and technology to enhance systems for the betterment of human welfare in low- and middle-income countries.

Her expertise spans data privacy, GDPR compliance, data engineering emphasizing data quality and ETL processes, data visualization using open-source tools, and communicating data effectively to both technical and non-technical audiences, including government stakeholders.

Tracey Li is known for her pragmatic problem-solving skills, adaptability in uncertain and resource-constrained environments, and ability to reprioritize effectively to maximize available resources.

Having lived and worked in multiple countries across four continents, Tracey excels in collaborating with culturally diverse teams, driving progress towards common goals by fostering trust, open communication, active listening, and cultural sensitivity.

Education-wise, Tracey holds a PhD in Particle Physics from Durham University, as well as a BA and MSci in Natural Sciences (Physics) with 1st Class Honours from Cambridge University. She further expanded her knowledge through an EMBA from Quantic School of Business and Technology.

Professionally, Tracey Li has held key roles such as Senior Data Lead at D-tree International, Project Manager and Data Scientist at Flowminder, Data Engineer/Analyst at Nextdoor, Data Scientist at Premise Data Corporation, Fellow at Insight Data Science, Post-doctoral researcher at MIT Senseable City Lab, Research and Communications Associate at Institute for Advanced Development Studies, and Post-doctoral researcher at Instituto de Física Corpuscular (IFIC).