Elysia Smyers
I graduated from Stanford University in March 2024 with a BS in Symbolic Systems and MS in Computer Science. Along the way, I've explored product management and operations management, but have developed a true passion for engineering. I love engaging in hands-on work designing and building systems that take into account users' needs at every step of the way.
Scroll to explore my projects and experience!
PROJECTS
React Native + Supabase application built as a final project for CS194H. 6-month project from needfinding through end-to-end execution. Awarded Best Visual Design.
Open source benchmark repository and dataset for the vision-based aircraft detect-and-avoid problem. Created as part of the Stanford Intelligent Systems Laboratory and presented at NeurIPS 2023.
Website developed for A Good Cause Productions, a Los Angeles-based film production company and gear rental house. Built using Webflow.
This website, built using React by yours truly.
EXPERIENCE
March 2023 - Dec 2023
Graduate Course Assistant
Stanford School of Engineering
(CS278: Social Computing, Spring 2023) Assisted Professor Michael Bernstein with teaching, grading, and orchestrating quarter-long project work for 170 computer science students(AA228/CS238: Decision Making Under Uncertainty, Fall 2023) Assisted Professor Mykel Kochenderfer with his course of 440 students that covers algorithms for building real-world decision-support systems; held twice-weekly office hours and contributed 10-15 hours per week to gradingJune 2023 - September 2023
Software Engineering Intern
PostEra
Worked on Proton, an end-to-end machine learning platform to close the Design-Make-Test cycle of Medicinal ChemistryDesigned and built a Django model (Python) and exposed endpoints (Python, Typescript) for chemists to save and view synthesis route objectsSeptember 2022 - June 2023
Student Researcher
Stanford Intelligent Systems Lab
Constructed an open-source repository (Python) for closed-loop simulation and evaluation of vision-based models for the aircraft detect-and-avoid problemFirst-authored a paper on our work accepted to NeurIPS 2023June 2022 - September 2022
Technical Program Management Intern
Meta
Worked with Meta's Applied Privacy Technology Team within the Privacy Infrastructure, which supports the privacy and security of 3.8+ billion users across all of Meta's platformsDeveloped H1 2023 roadmap for a cryptography-based privacy-enhancing technology by aligning internal and external stakeholders, working directly with engineers to support Meta’s data use minimization goalsMarch 2020 - February 2022
Head of Operations
The Marriage Pact
Managed day-to-day operations, onboarding, scheduling for a rapidly-growing startup of >50 employees working to reach a million students across 250 campuses in the next year Contributed to 1,000\% growth in my first year on the team (10,000 students -> 115,000 students)Engineered internal applications to automate processes and alleviate bottlenecks across the company, using AWS, GCP, and a variety of APIs with Python and JavaScriptJune 2021 - August 2021
DOS Product Management Intern
Health Catalyst
Worked directly with the Data Operating System’s (DOS) SVP of Product DevelopmentConducted interviews with DOS PMs to assess the current use of product management metrics across 20 engineering teams and developed and presented a metric framework based on findings