Hi, I'm Julian (Long Hin) Fong.

I am an Engineer and enjoy working with others to find creative solutions to difficult problems.

Julian Fong has a Bachelor of Applied Science - Engineering Physics from the University of British Columbia and a Masters of Biomedical Engineering from Imperial College London.

He has created tools and automated systems for researchers and radiologists at the BC Cancer Research Centre. At the e-bike startup Superpedestrian, he contributed to the mechanical and electrical design throughout the product development, testing, and manufacturing.

Most recently, Julian worked as a Principal Mechatronics and Systems Engineer at Cambridge Consultants. where he helping clients create prototypes in cell therapy and surgical robotics.

Experiences

Titanoboa - eatART

eatArt resurrected a giant snake in aluminium and hydraulics. I was a major contributor to the code used to control the snake and was part of the crew at many public events. Writing algorithms to mimic snake-like movement was an interesting challenge.

UBC AeroDesign - HeavyLift

My classmates and I entered the SAE AeroDesign Competition. We designed and built a remote-controlled plane and competed with other universities to lift the heaviest payload. Based on performance, technical merit and oral presentation, we came in 3rd out of 37 teams.

St.Paul's Hospital

I worked on projects creating research tools and modifying equipment. A microfluidics chip to visually sort fungal spores and cells was made and programmed. A blood analyser was modified to add new blood platelet testing. It was a pleasure to collaborate with chemists, nurses, biologists and physicists.

BC Cancer Agency

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Superpedestrian

At Superpedestrian, an e-bike startup in Boston, I helped develop the mechanics and electronics from prototype to product, coordinating teams, training interns, and aiding in designing testing and manufacturing.

RoboGals - London

I volunteered with RoboGals, helping to run workshops with school classes. We encouraged children's interest in engineering through play, building and programming Lego robotics.

Imperial College

During my master's degree, I worked on a project using ultrasound and machine learning to track microbubbles and map blood vasculature. I presented "Super-Resolution Ultrasound Image Filtering with Machine-Learning to Reduce the Localization Error" at the IEEE International Ultrasound Symposium 2019.

Cambridge Consultants

I was a Principal Mechatronics and Systems Engineer at Cambridge Consultants. We helped clients develop prototypes and solve engineering challenges ranging from surgical robotics and chemical sensor to interative toys.

Get in touch at hello@julianlhfong.com or view my profile on LinkedIn

Google Sites

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