Education
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.