David Low is a well-known figure in the field of artificial intelligence (AI) and machine learning, with over a decade of experience and many achievements under his belt. He has spoken at prominent international conferences, including PyCon Japan and Spark+AI Summit, and has a proven track record of leading high-performing technical teams to deliver measurable impact on clients' business performance. He is also a winner of several competitions, including Glencore's Zinc Recovery Optimisation Challenge and Alibaba-Tianchi Gridlock Prediction Challenge.

He holds a PhD in Artificial Intelligence from Nanyang Technological University, a Master of Technology (MTech) in Knowledge Engineering from National University of Singapore, and a Bachelor of Engineering (Hons) in Electronic and Communication Engineering from Curtin University of Technology. He has held various positions in organizations such as CardsPal, SmartJen, pand.ai, and IDA Singapore, among others. He is highly skilled in Python, R, SQL, NoSQL, Docker, Pandas, Scikit-Learn, and deep learning libraries, with experience handling large and distributed datasets using Hive, Elasticsearch, Airflow, and Spark. He is familiar with interactive data visualization tools such as Tableau, Qlikview, Plot.ly, and D3.js.

David was recently conferred the Outstanding Young Alumni Award 2021 by the National University of Singapore, which recognizes his outstanding achievements in the industry. His core expertise includes machine learning, deep learning, graph analytics, anomaly detection, search and recommender systems, time series forecasting, statistical analysis, data analytics/visualization, and optimization methods.