LiquidPiston is designing a new type of combustion engine, based on an improved thermodynamic cycle. The engine may double fuel efficiency, while reducing engine size and weight by 3-4x over diesel engines.Responsibilities at LPI are divided into technical responsibilities, including engine modeling and concept development, as well as management responsibilities, including development and execution of strategic and tactical plans, and corporate development activities.

Modeling and Control of robots and living neural networks, at the Robot Locomotion Group, in the Computer Science and Artificial Intelligence Lab (CSAIL).

Research Assistant / PhD student in the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). Working on robot locomotion, with biological inspiration. Focus of research was on control and motion planning strategies for the DARPA funded LittleDog program. Developed fast motion planning algorithms to reduce the complexity of the planning problem to make it tractable, while also taking into account the nonlinear dynamics of the underlying robotics systems.

Worked on motion planning and control algorithms for small humanoid robot, with the Humanoid Research Group at AIST

Conducted research for MS thesis (at Emory University) in Computer science. Worked with Professor Steve Potter in the Biomedical Engineering lab at George Tech (joint with Emory). Developed algorithms to study neurons cultured in a dish. The lab was setup to culture the neurons, and the neural culture interfaced with a computer through a multi-electrode array (MEA). The electrodes could record electrical signals and stimulate the living neural network. The research demonstrated computational properties of these living neural networks, and used the computation to control a robot. The robot provided information to the neurons, and the neurons gave "commands" to the robot, so the robot could execute a "pursue and follow" strategy.