Rose Tan Email & Phone Number
Who is Rose Tan? Overview
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Rose Tan is listed as Visiting Scholar at Stanford University, based in San Francisco Bay Area, United States. AeroLeads shows a matched LinkedIn profile for Rose Tan.
Rose Tan previously worked as Staff Machine Learning Engineer / Economist at Linkedin and Senior Machine Learning Engineer / Economist at Linkedin. Rose Tan holds Doctor Of Philosophy (Phd), Economics from Stanford University.
Email format at Stanford University
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About Rose Tan
My passion is using data to drive strategy. I love collaborating with and learning from people with complementary skill sets, including product managers, machine learning engineers, software engineers, and designers.My areas of expertise include:1) Applying causal inference methods to derive actionable insights from both observational and experimental data2) Technical communication with data scientists, machine learning engineers, and economists3) Synthesizing and translating technical information for general audiences including executive leadership in Product and Business Operations4) Connecting the dots across industries (academia and tech), roles (product data scientists and machine learning engineers and economists), and teams (marketplaces across LinkedIn)I publish a newsletter (https://www.linkedin.com/newsletters/an-economist-in-tech-6843753759261237248/), and I organize the Economists in Tech group (https://www.linkedin.com/groups/13976497/). I co-founded the Bay Area Tech Economics Seminars series (https://docs.google.com/document/d/e/2PACX-1vQGPQt5RQ5_d_5jk78_Zx2COiRxOBjt-fAhIF_nhtnTWh1IQ7Vi_wdPRNZGERv6ZW4Y6gV2DFVnPm34/pub). If you'd like to connect, and we haven't met, please provide a brief note explaining why.
Listed skills include Leadership, Python, Stata, Data Analysis, and 13 others.
Rose Tan's current company
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Rose Tan work experience
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Staff Machine Learning Engineer / Economist
Current
Senior Machine Learning Engineer / Economist
I co-founded the Marketplace Science AI team, a centralized team of economists focused on using causal inference modeling and market design to deliver business impact in LinkedIn's Talent Marketplace. I primarily worked with machine learning engineers in the job ads marketplace, which delivers value to job advertisers. Then I returned to Data Science, where I collaborate closely with machine learning engineers in the Feed Ranking AI team to drive business impact in LinkedIn's content ecosystem. I primarily do causal inference modeling and algorithm development in Python with a focus on heterogenous treatment effects using Double Machine Learning. My other specialty is complex experimentation involving interference and spillover effects.
Economist/Data Scientist/Mle
I completed a rotational program on three teams: I was a product data scientist on the Trust Data Science and Content Experience (Feed) Data Science teams, followed by a stint as a machine learning engineer on the Jobs Ranking AI team (Down-Funnel Optimization AI).
Research Scientist
Research Scientist / Data Scientist Intern on Marketing Science Statistics and Privacy R&D team. Worked on improving methodology of advertiser-facing experimentation platform using causal inference techniques. Collaborated with cross-functional partners to get buy-in and ensure project success. Tools used: Python, SQL, R, Mercurial.
Data Scientist
Data Science Intern on Product Platform team, which owns Quora's experimentation platform. Analyzed experimental and observational data to support product work. Identified and implemented statistical process to improve power for A/B tests. Tools used: Python, SQL, Git.
Senior Research Analyst
Research assistant for PhD economists in financial intermediation and banking. Applied econometrics and causal inference modeling to finance-related research projects.
Colleagues at Stanford University
Other employees you can reach at dukelong.com. View company contacts →
Malik Ben-Nadja
Colleague at Stanford UniversityDublin, County Dublin, Ireland
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CM
Christopher Mera
Colleague at Stanford UniversityLos Angeles Metropolitan Area, United States
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NH
Nicole Haygood Clark
Colleague at Stanford UniversityGreater Chicago Area, United States
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Devin Banerjee
Colleague at Stanford UniversitySan Francisco, California, United States
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JD
Johnbkzsv0505-040921 Doe
Colleague at Stanford UniversitySan Francisco Bay Area, United States
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JC
Jim Chen
Colleague at Stanford UniversitySan Francisco Bay Area, United States
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DG
Dmitriy Goldman
Colleague at Stanford UniversitySan Francisco, California, United States
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AM
Alia Mukhtar
Colleague at Stanford UniversityPunjab, Pakistan
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LK
Laura Kerr
Colleague at Stanford UniversityChicago, Illinois, United States
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JH
Jenny Hedges
Colleague at Stanford UniversityPeoria, Illinois, United States
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Rose Tan education
Doctor Of Philosophy (Phd), Economics
Bachelor Of Arts (B.A.), Economics
Frequently asked questions about Rose Tan
Quick answers generated from the profile data available on this page.
What company does Rose Tan work for?
Rose Tan works for Stanford University.
What is Rose Tan's role at Stanford University?
Rose Tan is listed as Visiting Scholar at Stanford University.
Where is Rose Tan based?
Rose Tan is based in San Francisco Bay Area, United States while working with Stanford University.
What companies has Rose Tan worked for?
Rose Tan has worked for Stanford University, Linkedin, Facebook, Quora, and Federal Reserve Bank Of New York.
Who are Rose Tan's colleagues at Stanford University?
Rose Tan's colleagues at Stanford University include Malik Ben-Nadja, Christopher Mera, Nicole Haygood Clark, Devin Banerjee, and Johnbkzsv0505-040921 Doe.
How can I contact Rose Tan?
You can use AeroLeads to view verified contact signals for Rose Tan at Stanford University, including work email, phone, and LinkedIn data when available.
What schools did Rose Tan attend?
Rose Tan holds Doctor Of Philosophy (Phd), Economics from Stanford University.
What skills is Rose Tan known for?
Rose Tan is listed with skills including Leadership, Python, Stata, Data Analysis, R (Programming Language, Research, Communication, and Marketing.
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