• Leading a small research team (5-10 engineers, including contractors and co-ops) in Bose Research focusing on 1) prototyping and evaluating new experiences, 2) developing audio deep learning models, and 3) deploying and optimizing ML models on low-power wearable devices.

• Edge AI: Train and deploy deep learning and machine learning algorithms to enable new wearable product experiences. • AR: Research novel software systems to support audio AR (augmented reality) applications.

• Founded a makerspace and interactive design consulting group that facilitates research and product innovation in smart environments and Internet of Things. • Led a team of 10+ designers to build an interactive gallery space at the University of Michigan. Collaborated with the marketing, facility and safety departments to resolve building regulation issues. • Collaborated with a colleague to develop an Internet of Things device to support machine learning ground truths and personal data collection. • Collaborated with a pediatrician (Jenny Radesky) to design a set of interactive stuffed animals to support children storytelling and facilitate learning of social-emotional skills. • Collaborated with art-school faculty to develop interactive shoelaces for light festivals.

• Designed and developed data-driven intelligent systems to explore novel design space and evaluating with UX methods and field deployment to understand user experience. • Applied machine learning to develop smart home systems that can actively learn residents' comfort preferences and coach them to make better heating & cooling decisions. • Leveraged machine learning to build room-level indoor localization systems and deployed to 5+ households. • Collaborating with clinicians to develop a mobile assistant to support patients with spinal cord injury and cerebral palsy.

• Designed and developed an interactive public display that can dynamically adjust content based on people nearby (using Bluetooth proximity detection) as well as users' settings on a coupled mobile phone application.

• Engineered the AI system of an award-winning sociable robot to enhance family-robot relationships. • Explored shallow and deep learning techniques (including LSTM-RNN and HMM) on a fusion of sequence data to improve Jibo's proactive behaviors.

* Designed and engineered an AI platform on top of SmartThings to support prototyping of smart home services.* Designed and prototyped a family robot that aggregates various health data from smart devices to promote physical wellbeing.

* Designed and built a room-scale interactive installation serving as a landmark for the university’s largest research center.