About Me
I am currently taking a break from the job market to dedicate more time to my family and to work on an interlinear web reader for language learning. In June 2024, I received my certification as a Google Certified Data Engineer. Previously, I worked as a research data engineer at the University College London (UCL). Before transitioning to data engineering, I was as a research fellow at the Lee Kuan Yew Centre for Innovative Cities. I earned my Ph.D. from the School of Information Systems at Singapore Management University. During my free time I love to read books and learn languages. View my CV .
Experiences
Data Manager/Engineer
2021 - 2024 · University College London
- Developed an automated data request system for NSHD, a cohort study involving people born in the UK who have participated in extensive physical, cognitive, and mental health assessments. This automation replaced the previous manual email-based process, creating a seamless and efficient experience for the data management team to handle daily data requests.
- Managed the research data for SABRE, a cohort study managed by the MRC LHA (Medical Research Council Unit for Lifelong Health and Ageing) comparing cardiovascular disease and diabetes between different ethnic groups.
- Facilitated the transition of the NSHD data showcase to align with the UK Biobank Data Showcase.
Research Fellow
2018 - 2021 · Lee Kuan Yew Centre for Innovative Cities
- Conducted, and collaborated in several research projects that harness big data to help with urban planning.
- Guided and supervised research interns and assistants.
IT Analyst
2011 - 2012 · Singapore Telecommunications Ltd.
- Assisted in building a website.
- Performed quality testing.
- Conducted code review.
Education
Ph.D. in Information Systems
2013 - 2018 · Singapore Management University
Thesis: Exploring Offline Friendships on the Social Information Network
Visiting Scholar
2016 - 2017 · Center for Computational Analysis of Social Organizational Systems (CASOS), Carnegie Mellon University
B.Sc. in Information Systems
2007 - 2011 · Singapore Management University
Publications
Journal Articles
2024. Robert F HILLARY et al. Blood-Based Epigenome-Wide Analyses of Chronic Low-Grade Inflammation across Diverse Populations Cohorts. Cell Genomics 4(5). Elsevier.
Proceedings
2018. Felicia NATALI , Feida ZHU . Offline versus Online: A Meaningful Categorization of Ties for Retweet. 10th International Conference on Social Informatics. Springer.
2017. Felicia NATALI , Binxuan HUANG , Kathleen M. CARLEY , Feida ZHU . The Role of Different Tie Strength in Disseminating Different Topics on a Microblog. ASONAM '17: Advances in Social Networks Analysis and Mining. ACM.
2016. Felicia NATALI , Feida ZHU . A Comparison of Fundamental Network Formation Principles between Offline and Online Friends On Twitter. NetSci-X 2016: Advances in Network Science. Springer.
2016. Youngsoo KIM , Kyungsub CHOI , Felicia NATALI . Extending the Network: The Influence of Offline Friendship on Twitter Network. 22nd Americas Conference on Information Systems (AMCIS 2016). Association for Information Systems (AIS).
2016. Youngsoo KIM , Felicia NATALI , Feida ZHU , and Ee-Peng LIM . Investigating the Influence of Offline Friendship on Twitter Networking Behaviors. 2016 49th Hawaii International Conference on System Sciences (HICSS). IEEE.
Book Chapters
2021. Felicia N. HUANG , Kelly LIM , Evan SIDHI , Belinda YUEN . Sensing Community Resilience from COVID-19 Using Social Media. COVID –19 : Geospatial Information and Community Resilience. CRC Press.
Skills
Python, R, Octave, Java, JavaScript, SQL, HTML / CSS, Bash, Hugo, Github
Languages
- Native Bahasa Indonesia
- Fluent English (IELTS Band 8/CEFR C1)
- Fluent Chinese (HSK 6/CEFR B2+)
- Intermediate Russian (CEFR B1)