# Alexis Lowber

> Software Engineering at Google, BS and MS in Computer Science from Stanford University

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/alexis

I'm a Computer Science and Biology student at Stanford University who is passionate about the intersection of healthcare and technology. I'm aiming to apply my skills in software engineering, data analysis, the Biodesign process, and universal design to the development of technology that improves the health and safety of its users.

## Work Experience
### Software Engineer @ Google
Jan 2023 – Present | San Francisco, California, United States

### Device Software Engineering Intern @ SPAN
Jan 2022 – Jan 2022 | San Francisco, California, United States

### Software Engineering Intern: Applied Privacy and Research @ Google
Jan 2022 – Jan 2022 | Sunnyvale, California, United States
• Built scalability and generalizability solutions for large scale textual data ML pipeline
• Implemented infrastructure changes to ML pipeline to add support for security and trust use cases
• Modified data extraction pipeline to achieve a ten-fold improvement in compute resources

### Computer Science Course Assistant @ Stanford University
Jan 2021 – Jan 2021 | Stanford, California, United States

### Software Engineering Intern, Surgical Analytics @ Verily Life Sciences
Jan 2021 – Jan 2021 | Mountain View, California, United States
• Implemented full stack changed to add video and video segment highlighting functionality to the surgical website
• Enabled automatic playback of videos and video segments that matched a user’s search query
• documented progress and collaborated with software engineers to determine project timeline and goals

### Biocomputation Research Assistant @ Collaborative Haptics and Robotics in Medicine (CHARM) Lab
Jan 2019 – Jan 2021 | Stanford, CA

### HID QE Intern @ Apple
Jan 2020 – Jan 2020 | Cupertino, California, United States
• Designed, developed, and distributed an internal iOS app for haptics demonstrations
• Collaborated with software and firmware engineering teams to identify important needs to address with app
• Maintained documentation of app progress to track new features and resolutions to bugs
• Utilized the git version control system to review code updates with team and iterate on app design

### Data Analyst Intern @ Fantl Lab, Stanford Undergraduate Bio-X Summer Research Program
Jan 2019 – Jan 2019 | Stanford, CA
• Normalized, gated, and analyzed data generated by Cytometry by Time of Flight (CyTOF)
• Implemented FLOWMAPR - an R-based dimensionality reduction program - to generate minimum
spanning tree graphs detailing protein expression in cancer cells
• Evaluated drug effectiveness based on protein expression; presented findings in Bio-X poster
session
• Cultured various ovarian cancer cell lines

### Alumna and Summer Intern @ A Better Chance
Jan 2018 – Jan 2018
• A Better Chance scholar (2010-2017) and leader of the student leadership team (2016-2017)
• Assisted in data management, marketing, and event planning and operation
• Interacted with scholars and served as a mentor for test preparation, college advising, college
essay writing, and handling challenges in a new school environment


## Education
### Master of Science - MS in Computer Science
Stanford University
Jan 2021 – Jan 2023

### Bachelor of Science - BS in Computer Science
Stanford University
Jan 2017 – Jan 2021

### The Episcopal Academy
Jan 2010 – Jan 2017


## Contact & Social
- LinkedIn: https://linkedin.com/in/alexis-lowber

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Source: https://flows.cv/alexis
JSON Resume: https://flows.cv/alexis/resume.json
Last updated: 2026-03-22