Education
Specialization in AI.
Adventures in AI, logic, and language.
Work Experience
Investigating use of reinforcement learning for building brain coprocessors to restore injured neural circuits, advised by Prof. Anca Dragan. Published a paper at ICML 2024.
Taught discussion sections, held office hours, and graded exams for CS 70: Discrete Mathematics and Probability Theory for 5 semesters.
Worked on the Perception team at an Alphabet robotics moonshot, collaborating with researchers at Google Brain. Integrated vision-language models for zero-shot object detection.
Developed deep-learning based sensor fusion for driver-assist technologies under the Research & Advanced Engineering group at Ford Greenfield Labs. Implemented a camera-LiDAR fusion model to improve vehicle detection.
Contributed to self-driving research for tightly-constrained, mixed-autonomy environments. Visualized data of human driver behavior in parking lots, designed a Python dataset API, and investigated metrics for vehicle interaction.
Volunteering
Designed and taught workshops for a machine learning club. Topics included reinforcement learning, adversarial attacks, graph neural networks, and ethics. Also led a weekly reading group!
Taught workshops on web development and Python for a one-week introductory CS program.
Worked with a team of high school girls to design and build a mobile app for community upcycling. Taught product and programming concepts, and guided students through creating their first app.
Awards
Awarded to top 9% of Teaching Assistants in each department.
Breadth area emphasis in mathematical logic.
Recognition for outstanding academic achievement.