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Yuyan Wang

Microsoft Research Intern

Senior Research Engineer at Google Brain

San Francisco Bay Area

Section title

Yuyan Wang's Email Addresses & Phone Numbers

Yuyan Wang's Work Experience

Microsoft

Microsoft Research Intern

June 2015 to August 2015

Redmond, WA

Morgan Stanley

Summer Associate, quantitative research

June 2014 to August 2014

Greater New York City Area

University of California, Los Angeles

summer researcher (CSST program)

July 2011 to September 2011

Los Angeles

Yuyan Wang's Education

Princeton University

Doctor of Philosophy (PhD), Statistics, Dept of Operations Research & Financial Engineering

2012 to 2016

University of Science and Technology of China

B.S. (Honors) in Statistics, Special Class for the Gifted Young

2008 to 2012

Yuyan Wang's Professional Skills Radar Chart

Based on our findings, Yuyan Wang is ...

Strong sense of self
Individualistic
Cause-and-effect oriented

What's on Yuyan Wang's mind?

Based on our findings, Yuyan Wang is ...

56% Left Brained
44% Right Brained

Yuyan Wang's Estimated Salary Range

About Yuyan Wang's Current Company

Microsoft

Developed a Bayesian “sample series” approach for modeling online query realtime popularity, which improves MSE by 30% compared with existing time series approaches

Frequently Asked Questions about Yuyan Wang

What company does Yuyan Wang work for?

Yuyan Wang works for Microsoft


What is Yuyan Wang's role at Microsoft?

Yuyan Wang is Microsoft Research Intern


What is Yuyan Wang's personal email address?

Yuyan Wang's personal email address is yu****[email protected]


What is Yuyan Wang's business email address?

Yuyan Wang's business email address is y****[email protected]


What is Yuyan Wang's Phone Number?

Yuyan Wang's phone (**) *** *** 185


What industry does Yuyan Wang work in?

Yuyan Wang works in the Internet industry.


About Yuyan Wang

📖 Summary

Microsoft Research Intern @ Microsoft Developed a Bayesian “sample series” approach for modeling online query realtime popularity, which improves MSE by 30% compared with existing time series approaches From June 2015 to August 2015 (3 months) Redmond, WASummer Associate, quantitative research @ Morgan Stanley Worked with Automated Market Making group and developed a value function model that predicts the value of priority in queue for limit orders on price-time exchanges From June 2014 to August 2014 (3 months) Greater New York City Areasummer researcher (CSST program) @ University of California, Los Angeles Won CSST Award (granted to 6 out of 90 students globally) for the work in the improvement and application of Respondent-Driven Sampling (RDS) in social networks, supervised by Prof. Mark Handcock. From July 2011 to September 2011 (3 months) Los AngelesResearch Assistant/Teaching Assistant @ Princeton University Thesis: Robust high-dimensional regression and factor modelsAdvisor: Prof Jianqing Fan From September 2013 to June 2016 (2 years 10 months) Princeton, NJUndergraduate Student @ University of Science and Technology of China, School for Gifted Young 4-year undergrad program for talented youths under 16 years old From September 2008 to July 2012 (3 years 11 months) Hefei, Anhui, ChinaData Scientist II @ Uber UberEverything data science team. Machine learning and statistical modeling for personalized ranking and recommendation algorithms for Uber Eats.We are hiring! From September 2016 to January 2018 (1 year 5 months) San Francisco Bay AreaSenior Research Engineer - Google Brain @ Google Applied research on neural modeling & recommendation systems @ Google Brain Senior Data Scientist @ Uber Tech lead on home feed ranking and recommendation for Uber Eats. Founding member of Uber Eats Data Science team.1. Developed and launched a multi-objective optimization algorithm for Uber Eats restaurant recommendation, which optimizes for the three-sided marketplace consisting of eaters, restaurant partners and delivery partners. Online A/B testing showed significant increases in conversion rate and user retention for global markets. Patented work as first-author. Tech blog: https://eng.uber.com/uber-eats-recommending-marketplace/.2. Proposed and launched a holistic statistical and machine learning recommendation framework for personalized optimal home feed layout, based on a probabilistic model that integrates modeling the heterogeneous and hierarchical contents with user’s scrolling behavior, which leads to significant weekly gain in gross bookings (biggest launch in the past year). Work presented at two external Meetup events and featured in Uber Machine Learning Orientation video.3. As a founding member and the first statistician for Uber Eats Data Science team, developed and maintaining an experimentation analysis Python library which supports 30+ metrics for A/Btesting, A/A testing, segmentation analysis and coupled experiment analysis and is used across the whole Uber Eats team by data scientists, engineers and product analysts. Authored Uber Eats Data Science Experimentation Playbook and A/B Testing Guidelines. Gave 10+ tutorials on experimentation best practices to teams in and outside Uber Eats. From February 2018 to September 2019 (1 year 8 months)


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In a nutshell

Yuyan Wang's Personality Type

Introversion (I), Intuition (N), Thinking (T), Judging (J)

Average Tenure

1 year(s), 6 month(s)

Yuyan Wang's Willingness to Change Jobs

Unlikely

Likely

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