Soundskrit
Stephane Leahy has a strong background in hardware and deep technology entrepreneurship. Stephane co-founded Soundskrit where they developed the first MEMS multi-directional flow microphone, leading a technical team with expertise in MEMS, packaging, and ASIC/PCB. Stephane also worked as an Entrepreneur In Residence at TandemLaunch Inc., where they identified promising deep technology, licensed it through TandemLaunch, and successfully launched a startup. Prior to this, Stephane pursued a PhD at Queen's University, focusing on developing cantilever biosensors based on MEMS for real-time bacteria detection, improving sensitivity and limit of detection. Stephane also managed graduate research projects and assisted professors in teaching engineering courses.
Stephane Leahy completed a Bachelor's Degree in Mechanical Engineering at Université de Sherbrooke from 2009 to 2013. Stephane then pursued a PhD in MEMS (Microelectromechanical Systems) at Queen's University from 2014 to 2017. Following that, they undertook a Postdoc at McGill University from 2018 to 2019, specializing in MEMS. Stephane Leahy also obtained additional certifications, namely "Machine Learning" from Coursera in April 2017 and "Six Sigma Yellow Belt" from Rolls-Royce (obtained month and year not specified).
This person is not in any offices
Soundskrit
Soundskrit is fundamentally changing the way sound is measured to bring the next generation of audio applications. The many emerging voice applications and interfaces have driven a need to capture sound from farther distances while remaining robust to noise. Because traditional pressure based microphones pick up sound coming from every direction,arrays of multiple microphones are needed to listen to a specific direction and ignore surrounding noise. This comes at a cost of increased size and decreased audio quality.Our bio-inspired, directional microphone directly measures the velocity of incoming sound rather than pressure. With a single microphone, we can separate sounds coming from multiple directions without compromising on size or quality. Soundskrit will greatly improve speech recognition and sound localization, enabling a new suite of features to consumer electronics.