About me

Fiona Anting Tan is a Research Scientist / Machine Learning Engineer at Instagram, Meta, where she specializes in solving delivery and modeling challenges in Ranking and Recommender Systems. She graduated with a PhD from the National University of Singapore as a recipient of the President’s Graduate Fellowship (PGF) Scholarship. Her research interests span across natural language processing and causal inference, with a focus on extracting causal relationships from text to enrich existing knowledge. Fiona has had multiple research internships and attachments with companies like Amazon, American Express, Panasonic and Changi Airport Group. Prior to her PhD, she worked as a Data Science Analyst in the retail sector for a multinational company, where she led data science initiatives centered on automation and analytics, which included an overseas secondment to the Shanghai office. Fiona also holds a first-class honours BSc in Econometrics and Mathematical Economics from the London School of Economics and Political Science, where she was a Singapore-Industry Scholarship recipient.

View my resume here.

Highlighted Works

The following projects reflect my current research focus. If you have any feedback or would like to collaborate, please reach out to me!

• Identifying confounders from causal knowledge graphs (Tan et. al., 2023) 🔗
• RECESS (Tan et. al., 2023) 🔗 / Causal News Corpus (Tan et. al., 2022) 🔗
• UniCausal (Tan et. al., 2023) 🔗

Education

PhD in Data Science [2020-Present]
National University of Singapore

🎓 BSc in Econometrics and Mathematical Economics [2014-2017]
London School of Economics and Political Science