Gerald Woo is a research scientist currently working on large-scale, real-world problems at Meta. Previously, they contributed to deep learning for time series data and developed one of the first foundation models for time series forecasting. Gerald has held positions as a senior research scientist at Datadog and participated in various internships, including roles at Ant Financial, DSTA, and SAP. They completed their PhD in Computer Science with Summa Cum Laude honors from Singapore Management University and hold two additional Summa Cum Laude degrees in Engineering and Business Management from Singapore University of Technology and Design.
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