# Lynette Gao

> SWE @ Meta | Stanford MS | UW-Madison CS & Stat

Location: San Mateo, California, United States
Profile: https://flows.cv/lynettegao

I did my master @Stanford and my undergrad at the University of Wisconsin-Madison with a bachelor major in Statistics and Computer Science. I'm particularly interested in the intersection of software development and big data. In my future career, I hope to combine these things to add value to businesses and the community.

## Work Experience
### Software Engineer @ Meta
Jan 2023 – Present | Menlo Park, California, United States

### Software Engineer @ Bloomberg
Jan 2023 – Jan 2023 | New York City Metropolitan Area
@BVAL
pricing 3 million fixed income securities and ingest 5 million market data ticks every day. Worked on high-precision algorithm and liquidity hubs for storing and retrieving pricing information.

### Research Assistant @ Stanford University Graduate School of Business
Jan 2022 – Jan 2023
research on institutional change on entrepreneurship

### Software Engineer Intern @ Meta
Jan 2022 – Jan 2022 | Menlo Park, California, United States
@ Core feed ranking team

### Grader: Statistical tools for modern data analysis @ Stanford University
Jan 2022 – Jan 2022
Statistics department

### Student Researcher @ University of Wisconsin-Madison
Jan 2020 – Jan 2021 | COVID-19 Science Communication Project
•	Conduct research on YouTube COVID-19 conspiracy video and develop deep-learning NLP model in order to analyze the user engagement with the prevalent coronavirus conspiracy 
•	Performed data labelling, data exploration, data cleaning and implemented a neural network model with NLP technique such as word-embedding, to classify the video’s attitude toward the conspiracy given the transcript. The developed ML model achieved 87% precision and 97% recall.

Extended abstract accepted on Computational Communication Research. Visual framing of science conspiracy videos.

https://arxiv.org/abs/2102.01163

### Peer Mentor: Introduction to AI @ University of Wisconsin-Madison
Jan 2021 – Jan 2021 | CS Department

### Research Assistant: Data Analyst @ University of Wisconsin-Madison
Jan 2019 – Jan 2021 | CENTER FOR LIMNOLOGYMadison
Meld data repositories with dynamical models using R to simulate lake dynamics, such as those innovated for anoxia cycling, enable us to quantify mass balance and major fluxes in a variety of lakes under a variety of circumstances.

Poster accepted in AGU Fall Meeting 2020: Coupling Bayesian modeling of lake oxygen dynamics with machine learning to advance aquatic ecosystem understanding.

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ad3VhZcAAAAJ&sortby=pubdate&citation_for_view=ad3VhZcAAAAJ:YsMSGLbcyi4C

### Mobile App Development Intern @ American Family Insurance
Jan 2020 – Jan 2020 | Madison, Wisconsin Area
•	Designed and developed credit card scanner feature for the company’s app with Google Vision API. This application is able to identify the card number and expiry date from phone’s camera with the accuracy of 85%
•	Implemented Firebase analytics services to the native android app in order to monitor the performance of the app
•	Participate in the full agile software development life cycle: from requirements definition, through development, to maintenance and enhancement

### Quantitative Analyst Intern @ Essence Securities Co., Ltd
Jan 2019 – Jan 2019
●	Conducted multi-factor stock-selection analysis using statistical language R to help automate the company’s quantitative analysis process by selecting over 80 factors, yielding prediction and testing the factor attribution
●	Participated in the cooperation project with private equity fund and completed the effectiveness research on various factors in different industries to construct the evaluation system for more than 10 private equity firms
●	Visualized and synthesized the findings using Tableau and reported the weekly finding to the portfolio research team, including the Chief Investment Officer

### Undergraduate Student Researcher @ University of Wisconsin-Madison
Jan 2018 – Jan 2019 | Madison, Wisconsin Area
Sustainable Smart Manufacturing Lab

Research on monitoring machine health using SQL database, predict and react to major events that may occur during the machine process based on real-time (IOT) collected data (big data) and data analysis (cloud computing)

### Undergraduate Teaching Assistant of MATH 113 @ University of Wisconsin-Madison
Jan 2018 – Jan 2019
Reinforced the lessons presented by the professor by leading the small-group discussions, including going through and clarifying the materials and answering questions

### CS department Student Ambassador @ University of Wisconsin-Madison
Jan 2018 – Jan 2018 | Madison, Wisconsin Area
Represent the university's department to promote the computer science study to the incoming students at the campus resource fair


## Education
### Master's degree in Statistics
Stanford University
Jan 2021 – Jan 2023

### Bachelor's degree in Computer Science
University of Wisconsin-Madison
Jan 2017 – Jan 2021


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

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