In this episode, I converse with  Julienne LaChance, a final year doctoral candidate in the Department of Mechanical and Aerospace Engineering at Princeton University. Prior to coming to Princeton, Julienne worked in NYC as a firmware engineer and programmer at 3D Printing giant MakerBot Industries, and then at General Electric’s Global Research Center, designing jet engines and building tools for other design engineers. She received her undergraduate and master’s degrees from Rensselaer Polytechnic Institute, whilst working on submarines, helicopters, smart grid optimization and electric vehicles.

Julienne's current interests transcend machine learning, computer vision, control and dynamical systems, and collective behaviour in cells. We indulge in a terrific conversation on her interesting journey in science, foraying into Artificial Intelligence and Machine Learning at the cusp of the ImageNet led Deep Learning revolution, COVID19 pandemic, and its disruptive impact, her pioneering the fantastic AI4ALL, a summer camp for high school students that targets underrepresented minorities, the great importance of incorporating ethics into AI algorithms to prevent scapegoating racial and ethnic minorities, and many more fascinating things.