Yale University
MS in Computer Science
Notable coursework: Topics in CS and Global Affairs, Industrial AI Applications
Katie Rimey
CS Graduate Student @ Yale | AI Safety Researcher
Based in Boston, MA
About
I'm currently in the final semester of a 2-year MS at Yale and a software engineer, but I'm pivoting to AI safety. I have both research and industry software engineering experience and four years of teaching experience. I believe the biggest risks to our future come from catastrophically misaligned AI, especially as a result of reinforcement learning.
My recent work investigates whether inoculation prompts that mitigate emergent misalignment from in-context learning are also effective in fine-tuning settings. I'm also studying emergent behaviors on Moltbook.
What Gets Me Up in the Morning
When I'm not thinking about AI, I'm bothering my kitten and puppy: Calvin, an agentically misaligned and eval-aware safety nightmare, and Annie, his best friend and a Very Good Girl. I love discussing ethical philosophy, and I'm currently on a mission to visit every US National Park. (I've made it to 8 so far.)
Resume PDF
Education
Sep 2024 – May 2026
Spring 2026
BlueDot Impact
AI Safety Training
Technical AI Safety; AGI Strategy Courses – safety techniques, threat models, open research problems; governance strategy, threat modeling, and policy interventions, kill chain analysis, defense-in-depth.
Technical AI Safety Project – 30-hour technical research project facilitated by an AI safety expert.
Sep 2020 – May 2024
Boston University
BA in Computer Science
One of four students awarded the 2024 Department Prize for Academic Excellence.
Minor in Great Books Core Curriculum. Notable coursework: Streaming Systems; Distributed Systems; Operating Systems; Philosophy of Gender, Race, and Science
Experience
June 2025 – Feb 2026
American Civics Exchange
Software Engineer
Developing full stack software for an early-stage prediction market startup, nearly exclusively using Claude Code powered workflows. Took broad independent responsibility while collaborating with a team to develop business critical features quickly.
Fall 2024 – Present
Yale University
Graduate Teaching Fellow
Managed a team of undergraduate TAs, held office hours, and met with students 1-on-1 for career advice and mentorship.
Spring – Summer 2024
Boston University
Head Teaching Assistant
Taught labs and coordinated the work of four other TAs for Distributed Systems. Overhauled the curriculum, including course assignments and lab teaching materials. Held office hours for large groups of students. I was awarded the 2024 Department Prize for Academic Excellence for this work.
Spring – Summer 2024
Boston University
Research Assistant
Developed a high-performance stream processing system in Go for the Complex Analytics & Scalable Processing Lab to support the group's research. Achieving the required performance required deep understanding of the performance characteristics of Go language internals and concurrency primitives.
Spring & Fall 2023
Boston University
Teaching and Course Assistant
Taught labs, held office hours, and assisted in lectures for Intro to Database Systems and Intro to CS.
May – Aug 2023
Elisa Polystar
Software Developer Intern, Helsinki
Developed a range of Python tools for use in 5G mobile network automation and analytics.
May – Aug 2022
Matchmade
Software Engineering Intern, Helsinki
Completed multiple product development projects in TypeScript, React, and NodeJS.