About Me
I work as a research scientist in Salesforce AI Research Singapore. My main focus is on training time series foundation models for forecasting. I also work on applied problems concerning reasoning over time series data, where I try to bridge the gap between language and time series modalities.
I earned my PhD at the National University of Singapore under A-STAR SINGA programme. I was co-advised by Dr. Nancy Chen from A-STAR / I2R and Prof. Min-Yen Kan from NUS / SoC. During my PhD I worked with text data, especially the conversational ones. Specifically, my work focused on domain-adaptation for task-oriented dialogues in the low data scheme (few/zero-shot). Before PhD I got my bachelor’s in Bilkent University in Computer Science and also worked part-time for a year in Milsoft as a software engineer.
I like to read sci-fi/fantasy novels and birdwatching. I also like to play board games (Battle Line, Catan, The Resistance are among my favorites).
News
[05/2025] Moirai-MoE accepted at ICML 2025
[03/2025] New survey preprint on synthetic data for time series analysis is available on arxiv
[10/2024] GIFT-Eval, the first general benchmark on time series forecasting, is now accepting submissions!
[02/2024] One paper accepted at COLING 2024.
[02/2024] Started a new position as a Research Scientist at Salesforce AI Research.
[01/2024] Received the NUS Dean’s Graduate Research Excellence Award.
[10/2023] One paper accepted at EMNLP 2023.
[08/2023] Received the NUS Computing Research Achievement Award.
[05/2023] Prompter accepted at ACL 2023.
[01/2023] I am joining Amazon (CA-US) for an applied science internship to do LLM research.