Joel Sadler, Ph.D.

Joel Sadler, Ph.D. has a diverse and extensive work experience. Joel is currently an Adjunct Faculty at Stanford University, where they are conducting research on the transformation of learning environments using AI and XR. Joel is also a lecturer teaching topics related to EdTech Product Design, AI + Virtual Reality, and Prototyping for the Human Body.

In addition, Joel is the Head of AI Creator Tools at PatchXR, a company they co-founded. Joel is responsible for the overall learning experience in the PatchWorld product, which utilizes real-time AI agents to guide players in creating complex devices in a no-code/low-code visual programming environment entirely in VR. Joel is leading the product roadmap and overseeing the development of multiple VR titles on different VR/MR devices.

Prior to these roles, Joel was an Oculus Launch Pad Fellow at Oculus VR, where they received training and support in VR development. Joel also served as a Virtual Reality Advisor at Stanford University School of Medicine, where they provided guidance on virtual reality projects.

Before their involvement in VR, Joel was the President and Co-Founder & CTO of Piper Learning, Inc. Joel played a crucial role in building the company from its early stages to a successful venture with significant funding and global reach. Under their leadership, Piper developed and shipped educational technology products, including the Piper Computer Kit suite that taught kids programming through building their own wooden Minecraft Raspberry Pi computer.

Joel's work experience also includes being a Bio-X Fellow and Researcher in Creative Computing at Stanford University. During this time, they developed the Bloctopus Playful Prototyping Toolkit and explored methods of tangible programming and usability evaluation. Joel also co-founded Re:Motion Designs, which aimed to provide affordable prosthetics for the developing world.

Furthermore, Joel has worked as a Design Engineering Consultant in the educational technology sector at Luidia Inc. and as a d.school Fellow and Lecturer at the Hasso Plattner Institute of Design at Stanford. Joel has taught graduate-level courses in design thinking, innovation, and entrepreneurship, and has led technology exploration in HCI digital-physical tools.

Joel's career includes a fellowship at Lightspeed Venture Partners, where they prototyped a machine learning product leveraging AI and early iPhone capabilities. Joel successfully raised seed funding and released an MVP product on the iOS App Store.

Joel Sadler, Ph.D. brings a wealth of experience in research, innovation, product development, and teaching across various disciplines, particularly in the areas of EdTech, AI, XR, and virtual reality.

Joel Sadler, Ph.D. has a strong educational background in Mechanical Engineering and Computer Science. Joel earned a Bachelor of Science (BS) degree in Mechanical Engineering from the Massachusetts Institute of Technology in 2006. Following that, they pursued further studies at Stanford University, where they obtained a Master of Science (MS) degree in Mechanical Engineering in 2009. In 2011, they embarked on a doctoral program at Stanford University and successfully completed their Doctor of Philosophy (PhD) degree in Mechanical Engineering in 2016. During this time, they also acquired a Master of Science (MS) degree in Computer Science from Stanford University in 2016.

In addition to their formal education, Joel Sadler has obtained several certifications in the field of Artificial Intelligence (AI) and Machine Learning. Joel completed the "AI for Everyone" certification from DeepLearning.AI in the year 2023. Joel also earned certifications in "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization," "Neural Networks and Deep Learning," and "Structuring Deep Learning Projects" from DeepLearning.AI, all before 2023. Prior to that, in 2021, they obtained a certification in "Machine Learning" from Coursera.

Based on the provided information, Joel Sadler's educational background showcases their expertise in Mechanical Engineering, Computer Science, and Artificial Intelligence.