Matthew Fisher

XR Engineer, Uncommon Partners

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Bio

Matthew got his inspiration to work with VR when in a Verizon Store in 2014, where he accidentally spent 30 minutes in a Jurassic Park simulator for the Samsung GearVR. After seeing this as a young student, he thought “I hope they make these apps good, and make cool ones.” then he realized he was an adult now, and he could be the “they” that makes VR apps, so he decided to start teaching himself how to create them. In 2016 as a senior with two semesters left until graduation with a degree in supply chain management, he decided to switch his major to Computer Science, then a semester later he decided to drop out entirely and create a company where he solely made WebVR applications. From 2016-2019 he worked to create WebVR using A-frame and Three.js. Around late 2017 he also started working with computer vision as a tool to do WebAR, and fell in love with it entirely. He is now focusing on native AR on devices with a focus on spatial mapping, hand gestures, and object classification. In 2018 his startup went through YC’s Summer School, and applied with an idea for a apartment/office management system based entirely on computer vision and face recognition.

 

Working in the  Uncommon Partners Lab with Kyle Kel and Amanda Manna, Matthew is working with the team to create a Neuroadaptive Learning applications. He’ll be working with BCI’s (Brain Computer Interfaces) to collect EEG data (Electroencephalogram) as well as other biodata using eye-tracking and heart rate monitoring. The team hopes this can make it easier for people to train for new skills with training customized to the user’s neurological state throughout the simulation. The best teachers change lesson plans to maximize the speed and accuracy of their students’ education, and the UP team believes our XR applications can do that too with just biological data interpreted with machine learning techniques.

 

Along with his ability to speak basic Hindi, German, and Japanese, he is currently studying Mandarin and French. His goal in life is to be able to have a 2 minute conversation with 90% of people on earth in a language they speak. Some other languages on his list to learn are Portuguese, Spanish, Arabic, and Russian. He also is a huge fan of working with Generative Adversarial Networks (GAN’s, a subset of machine learning) and believes within the decade the use of GAN’s will create a renaissance of art and media generation, democratizing the ability to everyone to create new media without having to master complex tools like Photoshop or 3D modeling software. His favorite type of GAN’s use a technique called Style Transfer. Reach out anytime if you’re interested in one of the above topics and want to talk!