“In high school, I did some research in a computational neuroscience lab. I entered college with the plan of studying Biomedical Engineering to pursue this interest further. However, a year into undergrad, I realized that my passion for math, computer science, and hands-on problem-solving was best satisfied by the multifaceted and widely applicable field of electrical engineering.

I love EE because it combines pure math, software engineering, and mechanical engineering to understand all levels of a system and solve a problem with the big picture in mind. AI is one of many software tools that I have learned and applied in my work with hardware and software systems. AI is a powerful and useful tool for any engineer to have in their problem-solving toolbox”

“AI can help us tackle many global sustainability challenges, including deforestation, renewable energy efficiency, and food deserts. AI can help us create art to increase empathy surrounding the impact of climate change, show the correlation between pollution exposure risk and social factors such as race and class, and predict natural disasters so that lives can be saved.”

“My favorite part has been watching students grow over the session, both in their understanding of the concepts and in their relationships with each other. I love watching students help each other with bugs in their code, bond and laugh at the end of a class session, and share with each other what intellectually and personally motivates them. I learn just as much from my students’ insights, curiosity, and optimism as I hope to teach them!”