My academic background in Symbolic Systems (CS, Neuroscience) and a master's in Computer Science (AI) from Stanford have given me a deep understanding of technical principles and a strong programming background. Throughout my career, I have combined my expertise in engineering, learning, and science. Teaching has always been a central part of my journey, and I have had the opportunity to instruct and mentor students in various capacities.
During my time at Stanford, I worked as a teaching...
My academic background in Symbolic Systems (CS, Neuroscience) and a master's in Computer Science (AI) from Stanford have given me a deep understanding of technical principles and a strong programming background. Throughout my career, I have combined my expertise in engineering, learning, and science. Teaching has always been a central part of my journey, and I have had the opportunity to instruct and mentor students in various capacities.
During my time at Stanford, I worked as a teaching assistant, where I led discussions and guided students through complex topics in cognitive science. Beyond the classroom, I have spent three years helping students with college preparation, including assembling portfolios and reviewing essays as students prepared for college journeys. My approach to tutoring emphasizes clarity, engagement, and helping students build confidence while developing strong problem-solving skills.
In the realm of programming, I specialize in Python and fundamental programming techniques, drawing from my experience as both a software engineer and a Computer Science Masters student. Whether teaching structured coursework or guiding students through project-based learning, I focus on breaking down abstract concepts into practical, digestible lessons. My goal is to empower students with the tools they need to think critically, solve problems independently.
