CV

Master of Science

EPFL (Swiss Federal Institute of Technology, Lausanne)

Digital Humanities

• Coursework: Modern NLP, Network Machine Learning, Image Analysis and Pattern Recognition, Machine Learning for DH, Image Processing for Earth Observation, Transportation Network Modeling and Analysis

Bachelor of Science

National Taiwan University

Geography (Geoinformation Track)

• Coursework: Machine Learning with Python, Web APP development, Operating Systems, Spatial Database Systems, Network Data Analysis and Models, UAS Mapping and Image Interpretation, Geospatial Simulation, Remote Sensing
• Specialization Program in Geographic Data Science (GPA 4.18/4.3 in the program)

Digital Product Manager Intern

H2U Corporation

• Led the product transoformation of HikingNotes, a hiking app with 100K+ monthly users, into subscription-based service by conceptualizing new features including user footprint analysis and a walking-time-based hiking network information
• Launched a 6 month gamified hiking initiative on a newly designed digital platform with 100K+ participants, represented H2U in a Sport Data Hackathon, and won a TWD$500K prize

Research Intern

Academia Sinica

• Conducted research on mobility network from telecom data and spatio-temporal epidemic statistics to evaluate the effectiveness of policy interventions and predict hotspots in 2021 COVID-19 outbreak
• Completed a funded research fellowship project: Proposed an optimal spatial distribution of testing station during COVID-19 outbreak by SEPIAQR epidemic simulations and mobility network, reducing projected confirmed cases by 20%

Undergraduate Research Assistant

Lab for Cartography & Multi-media, NTU

• Compiled and analyzed research findings from a 2018 survey on place name recognition, evaluating the effectiveness of public infrastructure naming as a preservation strategy and assessing public awareness of place name meanings
• Assisted in the revamping of the Place Names Information Service website in Taiwan

Effectiveness of controlling COVID-19 epidemic by implementing soft lockdown policy and extensive community screening in Taiwan.

Scientific Reports

Comparing the performance between static and dynamic populations in COVID-19 hotspots prediction.

Taiwan Journal of Public Health

Predicting the hotspots of COVID-19 outbreak by Telecom data - Take Taipei City and New Taipei City as an example.

Taiwan Geographic Information Conference

Living or Leaving? The Alteration and Perception of Place Names of Kavalan in Yilan, Taiwan.

Bulletin of The Geographical Society of China

College Student Research Grant

National Science and Technology Council

Research: Exploring the spatial allocation of testing stations using supply-demand relations: A Case Study of New Taipei City.

Honorable Mention, “Move to Earn” Sport Data Hackathon

Ministry of Digital Affairs

Represented H2U Corporation. Prevailed over 40+ companies to win TWD$500,000

Best Paper Award

Taiwan Geographic Information Conference

Selected Award, Keelung City Hackathon for Geo-Science Strategy

Keelung City Government

Awarded to students with outstanding academic performance.

Selvir Medal, National Geography Olympiad

The Geography Society of China