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Vivian Lin Email & Phone Number
MS in CS @ Columbia University
at
Stealth Startup
LinkedIn matched
✓ Verified August 2026
3 data sources
Profile completeness 100%
Current company
Role
MS in CS @ Columbia University
Location
New York, United States
Who is Vivian Lin? Overview
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Quick answer
Vivian Lin is listed as MS in CS @ Columbia University at Stealth Startup, based in New York, United States. AeroLeads shows a matched LinkedIn profile for Vivian Lin.
Vivian Lin previously worked as Co-Founder at Stealth Startup and Quant Trading and Research Intern at Moore Capital Management. Vivian Lin holds Master Of Engineering - Meng, Computer Science from Columbia University.
Company email context
Email format at Stealth Startup
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Stealth Startup
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Profile bio
About Vivian Lin
Vivian Lin is a MS in CS @ Columbia University at Stealth Startup. She possess expertise in python, data structures, programming, microsoft office, java and 8 more skills.
Listed skills include Python, Data Structures, Programming, Microsoft Office, and 9 others.
Current workplace
Vivian Lin's current company
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8 roles
Vivian Lin work experience
A career timeline built from the work history available for this profile.
Co-Founder
Current
Jan 2023 - Present
Quant Trading And Research Intern
Full-time summer intern (40 hr/week) & part-time year-round intern (20 hr/week) focused on conducting individual research projects involving time-series analysis and developing machine learning models
May 2021 - May 2023
Executive Board Member
Organize speaker series, panel discussions, skill workshops, networking events, meet-ups, and data science competitions and hackathons to promote data science across the Columbia and New York City community
Dec 2019 - May 2023
Paid Research Assistant
Created and deployed software tool that implements a new computational method for analyzing experimental nanomaterial data for scientists globally to use in solving inverse nanostructure problems
Apr 2020 - Aug 2022
Summer Analyst Intern
Cardinol Sol Venture Capital
Project lead for developing a consumer sentiment-based trading strategy using Google search frequency data to predict stock movement
Jun 2020 - Aug 2020
Researcher
Attend various company events and instructional sessions to connect with real-world professionals and to learn quantitative finance skills
Dec 2019 - May 2020
Paid Research Intern
Studied the structure and function of ABC transporter, P-glycoprotein (P-gp), to elucidate its role in the development of resistance to anticancer agents in cancer cells; conducted individual research project investigating cancer cell membrane transport proteins with goal of increasing effectiveness of anticancer drugs.
Jun 2018 - Aug 2018
3 education records
Vivian Lin education
Master Of Engineering - Meng, Computer Science
Columbia University
Bachelor Of Science - Bs, Applied Mathematics
Columbia University
Education record
Thomas Jefferson High School For Science And Technology
FAQ
Frequently asked questions about Vivian Lin
Quick answers generated from the profile data available on this page.
What company does Vivian Lin work for?
Vivian Lin works for Stealth Startup.
What is Vivian Lin's role at Stealth Startup?
Vivian Lin is listed as MS in CS @ Columbia University at Stealth Startup.
Where is Vivian Lin based?
Vivian Lin is based in New York, United States while working with Stealth Startup.
What companies has Vivian Lin worked for?
Vivian Lin has worked for Stealth Startup, Moore Capital Management, Columbia Data Science Society, Applied Physics And Applied Mathematics At Columbia University, and Cardinol Sol Venture Capital.
How can I contact Vivian Lin?
You can use AeroLeads to view verified contact signals for Vivian Lin at Stealth Startup, including work email, phone, and LinkedIn data when available.
What schools did Vivian Lin attend?
Vivian Lin holds Master Of Engineering - Meng, Computer Science from Columbia University.
What skills is Vivian Lin known for?
Vivian Lin is listed with skills including Python, Data Structures, Programming, Microsoft Office, Java, Machine Learning Algorithms, Principal Component Analysis, and Research.
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