Lilian Huang

Master of Science in Computational Analysis and Public Policy

Course Highlights: Databases, Machine Learning for Public Policy, Advanced Statistics,
Civic Technology

Bachelor of Arts with Honors in Political Science and Economics

Honors Included: Phi Beta Kappa, Dean's List 2013 – 2016, UChicago Public Interest Program Fellowship, UChicago Careers in Public and Social Service Scholar, Carnegie Endowment Junior Fellow National Finalist

NORC at the University of Chicago, USA

• Developed Python code and pipeline for cleaning and processing semi-structured administrative data into tidy datasets, reflecting different geographic and administrative units of measurement
• Produced exploratory analysis and visualizations describing the distribution and utilization of Early Childhood Training and Technical Assistance, using Pandas and Seaborn
• Implemented automated filters and workflow in R to extract, process, and analyze relevant tweets on education-related topics, from a dataset of several million tweets

Chapin Hall, University of Chicago, USA

• Prepared research proposals and publications for use in developing child welfare policy and programs
• Managed and manipulated datasets containing 4 million observations, and carried out statistical analysis and data visualization as required to support various projects, using software including SAS and Microsoft Excel
• Developed and tested statistical models, and interpreted and communicated model results in concise summaries
• Created a web-based dashboard, using R, to enable states to view and interpret child welfare outcomes

Center for Strategic Futures, Prime Minister's Office, Singapore

• Proposed and defined concrete research questions based on broad geopolitical, cultural, and economic issues, such as the ramifications of the United States presidential election and the displacement of labor through automation
• Researched and wrote reports and policy briefs addressing these questions, collaborating remotely with other researchers based in different timezones to deliver work on tight deadlines with rapid turnaround times

Economic Development Board, Singapore

• Planned and executed independent research project on national land use policies and trends in space use
• Interviewed stakeholders from across private and public sectors to understand business needs for space
• Identified and analyzed global case studies of creative real estate projects and innovative land management
• Formulated a set of policy recommendations for future-ready industrial space use and allocation

Data Ethics Lead and Head Storyteller

• Led over 80 volunteers in drafting a code of ethical principles for data scientists, through organizing working groups and soliciting community input
• Presented preliminary findings at keynote session of Bloomberg's Data for Good Exchange 2017
• Formulated and spearheaded comprehensive publicity and communications strategy for online collective of more than 4,000 volunteers working on civic-oriented data science projects