We're a team of scientists, engineers, athletes, developers, and designers. The company was started in San Francisco and has evolved into remote locations across the United States.
The team has also evolved along the company's different stages. From 2015 to 2022, it focused primarily on R&D, design, and testing. Since then, it has focused more on product and user-centered issues.
iCueMotion's leadership and vision in the human augmentation space has a long-term commitment to scaling its applications and continue supporting strong R&D.
Connect with us if you are interested in joining our team.
Berenice Mettler is the founder and CEO of iCueMotion. She started iCueMotion in 2014, building on her academic experience and interest in neurosciences and cybernetics. Her goal with iCueMotion is to build tools that leverage movement measurements, feedback, and artificial intelligence and work harmoniously with the natural human sensory-motor and learning processes. With this approach, she aims to create long-term physical and mental benefits for users and society.
Berenice was an associate professor of aerospace engineering and mechanics at the University of Minnesota from 2006 to 2016, where she won tenure in 2013. She graduated from ETH, obtained her PhD at Carnegie Mellon University, and then was a post-doctoral scholar and researcher at MIT. Her research spans artificial and natural spatial guidance and control. Her contributions cover topics such as modeling flight dynamics, designing flight control and guidance algorithms for agile autonomous flight, and, in parallel, mathematical techniques to understand the principles used by the brain to achieve agile performance in complex environments.
Bérénice has authored over 100 peer-reviewed papers in conferences and journals, including several highly cited papers. Her research has been recognized with several best paper awards. In 2012, she received an NSF Career Award. In January 2017, she was honored by President Obama and the White House Office of Science and Technology with the Presidential Award for Early Career in Science and Engineering (PECASE).
David graduated with a degree in Computer Science and Technology from the Monterrey Institute of Technology and Higher Education (ITESM). He's a software engineer with a passion for building distributed systems, including cloud, database, and web applications, all aimed at improving business processes. David is particularly drawn to projects that make a positive impact. Currently, he's exploring Data Science and AI projects. Outside of coding, David enjoys staying active, watching movies, and reading.
Hyunjoo Oh holds two Master's degrees in Robotics from the University of Pennsylvania and Aerospace Engineering from Seoul National University, where she specializes in Flight Dynamics and Controls. Her research focuses on system dynamics and control, artificial intelligence, and robotics.
Before joining iCueMotion, she built a strong foundation dealing with practical issues and actively developed human-assistive solutions that benefit society. At Samsung, Hyunjoo developed path-planning algorithms and simulators for autonomous surveillance vehicles. At General Motors, she developed engine control algorithms and automated testing procedures through HILS (Hardware-in-the-loop systems), earning the GM President Award. Her work at the Institute for Advanced Engineering (IAE) involved developing a vertical mobile robot's navigation system under environmental constraints.
At iCueMotion, Hyunjoo currently aims to leverage her expertise in AI and dynamics-based movement skill modeling and analysis to develop novel technologies that enhance human life.
Bruce obtained a Master’s degree in Robotics from Carnegie Mellon University(CMU). With his strong interests in physics and computer science, Bruce developed novel computer vision algorithms to solve for real-world problems in computational imaging, graphics and medical imaging. He believes with physics-aware modeling and big data, many challenging problems can be solved in an accurate and computationally efficient way. In his spare time, Bruce enjoys weight-lifting and sneaker collection. His goal is to build a sneaker authentication application using physics and data-driven methods.
Reza received his PhD in Industrial Engineering and his Master's degree in Computer Science and Engineering from Texas A&M University. His areas of interest include artificial intelligence (AI), software engineering and signal processing. Over the past six years, Reza has worked as a Data Scientist and Machine Learning Engineer at Merck Company and Houston Methodist. He has extensive experience in developing and deploying AI and deep learning models using sensors and computer vision data. At iCueMotion, Reza focuses on integrating sensor and computer vision data to build advanced AI models. He is enthusiastic about projects that positively impact human well-being and performance. Outside of work, Reza enjoys playing the piano and swimming.
Shan pursued graduate studies at the University of Pennsylvania (UPenn) Computer and Information Science (CIS), building a strong foundation in computing and engineering. Her areas of interest include general computer vision, multi-view geometry, and the capture of human activities through multi-camera systems and first-person videos.
At iCueMotion, Shan develops computer vision pipelines that extract meaningful insights from visual data, helping users understand their performance and discover where they can grow. She is passionate about transforming raw visual information into actionable feedback that empowers people to reach their full potential.
In her spare time, Shan enjoys hiking, water activities, and tennis.