Ding Luo Email & Phone Number

The Hague, South Holland, Netherlands

Senior data scientist at the People Analytics team, a role that sits at the intersection of data science, business analysis, and organizational strategy to drive impactful insights for the organization and people agenda.▪ Delivering data science consulting projects in the HR domain to drive data-driven decision-making.▪ Leading team engagement initiatives to scope project opportunities across the HR function, driving alignment and collaboration.▪ Leading the optimization of team workflows by promoting best practices in data science and integrating internal tech stack, enhancing efficiency and collaboration.▪ Actively contributing to the internal data science community development.

Amsterdam, North Holland, Netherlands

Broadening assignment at Shell's newly established Power Technology organisation as a data and digitalisation SME. I served as a technical consultant at the E-Mobility Fleet Design & Operations team, delivering end-to-end analytical and digital solutions for Shell's industrial electrification technological development in various fields, including mining, shipping and heavy duty road vehicles.

Amsterdam, North Holland, Netherlands

Member of the customer centricity data science team and primarily contributed to internal projects in the business spaces of road transport & logistics, road safety, fuel pricing and E-Mobility.

Amsterdam, North Holland, Netherlands

Joined Shell as a data scientist through its global AI residency program upon completing my PhD. Completed this program in two years with both on-the-job and systematic course trainings (Udacity).

Delft, South Holland, Netherlands

I am hosted as a guest researcher at TU Delft's AI for Mobility lab. My main role is to promote the research collaboration between Shell and TU Delft in the E-Mobility space. I also participate in research and outreach activities by supervising student projects and giving guest lectures about data science .

Delft, South Holland, Netherlands

Fully funded by the European Union through two Horizon 2020 R&D projects (SETA & My-TRAC), my PhD focused on analysing the complexities of public transport demand, supply, and their interactions using large datasets and advanced modelling techniques. Over the four-year program, I made contributions across research, education, industry, and society:▪ Research: Conducted innovative research in the domain of transport and mobility, resulting in 10+ publications in top journals and presentations at international conferences (350+ citations).▪ Education: Delivered lectures to master's students and supervised 5 students on research and graduation projects.▪ Industry: Contributed to the successful delivery of EU projects through modeling, project management, stakeholder engagement, and reporting.▪ Society: (Co-)Organized events on transport and mobility, engaging a wide range of societal stakeholders.

Melbourne, Australia

▪ Research visit hosted by Prof. Graham Currie at the Public Transport Research Group. ▪ Conducted a collaborative study on analyzing public transport accessibility using network science techniques.

Shenzhen, Guangdong, China

Stockholm, Sweden

I worked as a research assistant on the CycleSim project. I performed cycling GPS data processing based on Kalman filtering and developed a method for modeling cyclists acceleration and deceleration processes.

Doctor Of Philosophy (Phd), Mobility And Transport Systems

PhD dissertation: "Data-driven Analysis and Modeling of Passenger Flows and Service Networks for Public Transport Systems"

Master Of Science - Ms, Transport And Geoinformation Technology

Thesis: Modeling of Cyclists Acceleration Behavior using Naturalistic Data

Bachelor Of Engineering - Be, Transportation Engineering & Advanced Mathematics