I greatly value education, and will make education, leadership, and mentorship a part of my career. I believe we need to provide support and mentorship for minoritized students, inspire exploration of excitement about STEM fields and research, and encourage students to make the most of their education and unique opportunities. As an undergraduate and graduate student, I have worked as a tutor, teaching assistant, and research mentor. These experiences are described below. See my CV for more information.
Lumiere Education is a program that introduces high school students around the world by pairing them with a graduate student research mentor in their area of interest. As a research mentor, I guide students through the academic research process, teach them foundational material in various areas of computer science, and support them as they produce an undergraduate-level research paper.
I have mentored students through 12-week research projects in the following areas:
I have mentored students through 6-month research projects that allow them to dive deeper into their area of interest. I have mentored students on the following projects:
I also mentor for Lumiere's newly developed Veritas AI program, which introduces high school students to artificial intelligence (AI) and machine learning (ML) oncepts. My role is to assist with lectures and code walk-throughs that illustrate these concepts, and lead small groups of students to apply AI and ML algorithms on their own in Python. Our students have a range of programming and computer science experience, making this an exciting opportunity to teach diverse high school students about the applications of artificial intelligence and machine learning.
I am currently working as an Engineering Teaching Consultant (ETC) within the Center for Research on Learning and Teaching in Engineering (CRLT-Engin). As an ETC, I provide support and a variety of services to undergraduate and graduate teaching assistants (TAs). These services include one-on-one consultations to address teaching challenges, reviewing teaching philosophy statements, and observing classes to collect feedback from students for the instructors. We emphasize best teaching practices such as active learning and inclusive teaching.
I am currently working with the University of Michigan Athletic Department as an Academic Success Program (ASP) Tutor. I work with undergraduate student athletes and tutor all levels of mathematics and computer science courses. I explain concepts, work through example problems, test student understanding, and demonstrate helpful studying and problem-solving techniques.
I worked as a Graduate Student Instructor (GSI) for the graduate-level course Introduction to Artificial Intelligence and the undergraduate-level course on Discrete Mathematics. My responsibilities included attending lectures with students, preparing for and leading weekly discussion sections, holding office hours, writing and grading exams, exam management, and writing and coordinating grading of assignments. In my teaching, I encourage students to focus on problem-solving techniques and approach problems in different ways depending on how they reason about concepts.
I worked as a computer science tutor. This involved attending labs for the introductory computer science and introductory programming courses — where I worked with students one-on-one or clarified course material for the group — and working as the computer science subject tutor — where I worked one-on-one with students from any computer science course offered.
As a writing tutor, I worked one-on-one with students at any point in the writing process. We emphasized non-directive tutoring by asking questions and prioritized higher-order concerns over lower-order concerns.
As a speech tutor, I worked one-on-one with students at any point in the speech writing process. I generally worked long-term with students with speaking anxiety and practiced techniques for managing stress.