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Elisabeth Holm

Elisabeth Holm

Founder | Innovator | Stanford CS Student

Technology / Internet

Stanford, Santa Clara

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About Elisabeth Holm:

Elisabeth Holm, an aspiring computer scientist with a passion for AI/Machine learning, has been an ambassador and advocate for girls in STEM for 9 years. Elisabeth is a former intern at the San Diego Supercomputer Center, a “graduate” of the Qualcomm (Q-Camp) - Women in Technology (WiTech) multi-year program for girls in STEM, and currently continues to follow her passion for STEM at Stanford University. Raised in a multi-generational home and with ancestry from Indigenous Americas, Elisabeth founded the nonprofit SONAC - Sisterhood of Native American Coders - to apply her talents to support an underserved community that is both personal to her and honors her late grandmother. Elisabeth hopes to bring access, exposure, and mentoring to underrepresented Native American girls so as to address the disparities in opportunities to learn and inspire the next generation of young female innovators!

Experience

Hopkins Marine Station — Computer Vision/ML Engineer, Science Research Lab Assistant

SPRING 2022 - PRESENT

Independently created a computer vision program to find/track 200+ chromatophore cells from microscope video, reducing data processing time from hours (by hand) to seconds. Prepped & performed squid skin experiments, investigating electrophysiology & chemical communication between chromatophores. 

 

Sisterhood of Native American Coders — Founder

AUGUST 2019 - PRESENT

Created & currently manage a 501c3 nonprofit that inspires 140 Native American girls across 26 states from 89 tribal affiliations to pursue STEM. Developed curriculum for Python coding, mentoring, & guest speakers. Led four teams in international hackathons. Featured in multiple global equity panels & publications.

 

San Diego Supercomputer Center — Machine Learning Research Intern

JUNE 2019 - AUGUST 2019

“Text Classification via Supervised Machine Learning for Issue Tracking System” – Independently developed a Naive Bayes text classifier using only standard libraries in Python. 

 

The Bishop’s School Robotics Team — Team Leader, Lead Programmer, Competition Driver

AUGUST  2017 - JUNE 2021

Designed, built, & programmed robots to compete in local, regional, & international competitions (Vex, Robocup@Home, RoboCup Soccer). Led team to 4th place in international finals (RoboCup@Home ‘20) using ML for a home service robot.

Education

Stanford University, Stanford, CA — B.S. Computer Science

SEPTEMBER 2021 - JUNE 2025

Courses focused on in-depth CS background with AI focus, marine biology, & building new perspectives of the world. Cumulative GPA: 3.9

 

The Bishop’s School, San Diego, CA — High School Diploma

SEPTEMBER 2017 - JUNE 2021

Cum Laude. Completed entire computer science elective track (4 years). Independent CS projects using machine learning and computer vision

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