I earned my B.S. in Electrical Engineering and Computer Science from MIT, where I was a Ronald McNair Scholar and an ACE Mentor Top Scholar. The summer after senior year, I taught advanced math and a specialized engineering elective to rising 8th graders through the MIT STEM Summer Institute, and as an undergraduate I worked as a grader, where I developed real skill in giving clear, specific feedback that helps a student understand exactly where their thinking went wrong and how to fix it. I...
I earned my B.S. in Electrical Engineering and Computer Science from MIT, where I was a Ronald McNair Scholar and an ACE Mentor Top Scholar. The summer after senior year, I taught advanced math and a specialized engineering elective to rising 8th graders through the MIT STEM Summer Institute, and as an undergraduate I worked as a grader, where I developed real skill in giving clear, specific feedback that helps a student understand exactly where their thinking went wrong and how to fix it. I also tutored briefly in high school. Later, I pursued graduate coursework at Columbia toward an M.A. in Computing in Education, focused on data-driven learning systems, studying how technology and data can be used to understand and improve how people actually learn.
Since MIT, I have spent 15 years in technical roles spanning data engineering, business intelligence, and product management, most recently building and evaluating AI products. Math, programming, and rigorous technical thinking have been the foundation of my career, used daily rather than studied once and set aside. I have also continued teaching professionally: I personally trained 15 percent of one organization in SQL and Tableau through recurring sessions I designed and led, and as a manager I mentored engineers and analysts one on one, breaking down complex technical material into steps someone could actually retain. I also mentored through TechWomen, a U.S. State Department program pairing emerging women technologists with mentors.
I am especially suited to AP Calculus, AP Computer Science, and upper-level high school math, where real conceptual grounding matters more than memorized steps, and to college essay coaching, drawing on my own experience navigating MIT admissions. My approach is the same one I built as a grader and studied formally at Columbia: understanding is not about the right answer once, it is about feedback precise enough that a student can find their own way there next time.
