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    Neuron Mobility is a technology pioneer in the personal mobility space and owns and operates the largest shared electric scooter fleet in Singapore. Neuron’s shared electric scooter services combine real-time telematics to address personal mobility in daily urban commute, goods delivery and tourist segments.

    Founded in 2016, Neuron Mobility has some of industry’s earliest patents on smart scooter and intelligent charging solutions in the personal mobility space. Neuron Mobility continuously seeks to make a real impact to the lives of the many, and partners actively with cities to build the smart cities of the future.


    Co-Founder and CEO

    Zach is a serial entrepreneur who seeks to impact the lives of many through sustainable technology. He demonstrates this zeal as the Co-founder and Chief Executive Officer of Neuron Mobility, an e-scooter sharing platform that brings sustainable personal mobility to Singapore and Southeast Asia. Zachary leads the company with a passion and enthusiasm for building smart cities and contributes to this initiative through the company’s use of data sharing and real-time analytics to bring convenience to the masses. He founded Rezeca Renewables, the largest residential solar provider in Singapore, with a strong presence in Thailand for commercial and industrial applications. Zach has also spent several years researching Electric Vehicles and built hydrogen fuel cell electric cars since 2007.


    Co-Founder and CTO

    Dr. Harry Yu is a data scientist who specialises in machine learning and artificial intelligence. As the co-founder and Chief Technology Officer at Neuron Mobility, Harry develops the key technologies that power the company’s e-scooter sharing platform. His pioneering research work and algorithms are used in real time data analytics and scalable solutions for the rapidly expanding platform, and he is focused on building Neuron as a data-driven mobility company that works with local stakeholders to build the smart cities of the future. His work involved improving the computational efficiency for an embedded inverse dynamic problem for the healthcare industry, developing predictive attrition models for the banking industry, building a geospatial simulation model for demand prediction for the transportation industry and creating a Predictive Maintenance System (PMS) based on machine sensor for the airline and semiconductor industries.

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