Prof Carol Anne Hargreaves is a results-oriented Director of the Data Analytics Consulting Centre at the National University of Singapore (NUS) and holds a joint position as an associate professor in the Department of Statistics & Applied Probability and the Department of Mathematics. She is also the Co-Chair for the Data Science & Analytics Programme. Prof Carol has extensive experience in leading teams of analysts to solve multidisciplinary real-world data science problems. She developed and took charge of multiple innovative projects in the Pharmaceutical, Healthcare, Telecommunications, and Fast-Moving Consumer Goods (FMCG) Industry.
Her research area includes Artificial Intelligence & Machine Learning Applications in Healthcare and the Financial Industry. She is a Member of the Data Literacy Programme Committee at the National University of Singapore. Prof Carol Hargreaves is a Keynote Conference Speaker, Program Committee Member, and an Editorial Board Member for many international and local conferences.
Adam is the CTO of Konduit. Before this, Adam was the cofounder of Skymind. Adam has been using open and producing open source software since 2010 and has been developing machine learning systems since 2012. Adam is a published author and speaker on the field of deep learning on topics ranging from deployment of Production Machine Learning Systems to NLP. Adam grew up in Michigan in the US, spent a few years in Silicon Valley and now resides in Tokyo, Japan.
Dr Denis Bauer is an internationally recognised expert in artificial intelligence, who is passionate about improving health by understanding the secrets in our genome using cloud-computing technology. She is CSIRO’s Principal Research Scientist in transformational bioinformatics and adjunct associate professor at Macquarie University. She keynotes international IT, LifeScience and Medical conferences and is an AWS Data Hero, determined to bridge the gap between academe and industry. To date, she has attracted more than $31M to further health research and digital applications. Her achievements include developing open-source bioinformatics software to detect new disease genes and developing computational tools to track, monitor and diagnose emerging diseases, such as COVID-19.
Andi Sulasikin is a Senior/Lead Data Scientist at Jakarta Smart City. Andi has received his bachelor’s degree in Informatics Engineering from Telkom University, Bandung. Then, Andi has accomplished his degree as Master of Science in Information science at Radboud University Nijmegen with an Indonesia Endowment Fund for Education Scholarship (LPDP). Andi even has participated in Summer School Technologies for Future Cities at University College London (UCL), UK with a scholarship from the European Institute of Innovation & Technology (EIT). Prior to Jakarta Smart City, Andi has worked at a Telecommunication Company, Fintech Start-Up, IT Solution Provider Company, and as a data expert for One Data Indonesia at the Ministry of National Development Planning / BAPPENAS.
Andi has a huge passion in Data Science and Smart City, especially how data, machine learning, and digital technology can help in making decisions and bring efficiency in the use of resources, as well as to improve the quality of people’s lives.
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