Yifan Wei

Yifan Wei Email and Phone Number

Applied Scientist PhD Intern @ Uber | PhD Candidate @ USC @ Meta
Yifan Wei's Location
Greater Seattle Area, United States, United States
Yifan Wei's Contact Details

Yifan Wei work email

Yifan Wei personal email

n/a
About Yifan Wei

Yifan Wei is a Applied Scientist PhD Intern @ Uber | PhD Candidate @ USC at Meta. They possess expertise in data analysis, research, statistics, public speaking, healthcare and 7 more skills. They is proficient in English. Colleagues describe them as "I mentored Yifan in her summer internship at Meta. I was so lucky to have Yifan on the team! Yifan was among the very top interns in her cohort. She was an extremely valuable colleague and a great pleasure to work with. Yifan stood out because of her quick-learning, technical skills, great communication, and leadership. * Quick learning and autonomy: Yifan’s assigned project was complex. It requires knowledge in machine learning and proficiency in Python coding. It also requires her to quickly onboard to a large, complex scope of work, machine learning tooling that MLEs use, and data science tooling. Normally we’d expect a full-time colleague to take 1+ months to get familiar with the context and tooling. Yifan quickly grasped the materials on the onboarding guide and went through posts and guidelines by herself and unblocked herself when needed. She finished her first task within the first two weeks of her internship and made a well-written post that generated lots of interest. She maintained such high performance throughout the internship. I did not need to handhold her since week 3, as she already had developed opinions on how to proceed by then. * Great technical skills: Yifan demonstrated proficiency in Python coding, SQL, and deep understanding in machine learning. She wrote a reproduceable Python notebook with highly efficient functions to generate helpful results and visuals. Her notebook was well documented and has been re-used by other teams during and after her internship. I have been given great feedback about Yifan from the Eng team that her analyses were very clear and gave specific modeling recommendations. She went beyond to propose useful metrics which helps a lot with our ML work planning. * Great communication skills: Throughout the internship Yifan always communicated effectively, both in terms of oral communication and written communication. During our meetings and the meetings with cross-functional teams, Yifan always articulated technical information in a clear and detailed manner. Her outputs were well written and to-the-point, with feasible and actionable recommendations. Her presentations were clear and visually appealing. She also proactively reached out to colleagues beyond the immediate product teams, to learn from them and discuss how her work could be helpful for them. * Leadership: Yifan went above and beyond and extent her work to other product areas with similar challenges. She led meetings with other product teams and helped their teams’ data scientists learn about her work and use her reproduceable notebook. By the end of the internship, Yifan’s work was significantly more in depth and breadth than anticipated in product plan. We were so pleased with her work and were proud of her growth in a short amount of time. I sincerely hope that I could work with Yifan in the future again! *I am only providing this reference in my personal capacity and not as an employee or representative of Meta."

Yifan Wei's Current Company Details
Meta

Meta

View
Applied Scientist PhD Intern @ Uber | PhD Candidate @ USC
Yifan Wei Work Experience Details
  • Meta
    Data Scientist
    Meta Jan 2024 - Present
    Menlo Park, Ca, Us
    AI Infra Experiences
  • Usc School Of Pharmacy
    Phd Candidate - Health Economics
    Usc School Of Pharmacy Aug 2018 - Dec 2023
    Los Angeles, Ca, Us
    • Applied natural language processing BERT framework to sequential medical claims data. Designed algorithm in Python (TensorFlow) to generate contextualized embeddings and predict incident dementia.• Processed large-scale Medicare data with SQL and Python on Linux server to construct analysis-ready dataset (0.5 million observations). Designed input data structure to suit the multi-dimensional nature of medical claims.• Collaborated with research faculty in research design, data analysis and manuscript writing for National Institute of Aging projects on access to and value of novel Alzheimer’s and dementia treatment.
  • Uber
    Applied Scientist Phd Intern
    Uber May 2023 - Aug 2023
    San Francisco, California, Us
    Marketplace Fare Intelligence
  • Meta
    Data Scientist Intern
    Meta May 2022 - Aug 2022
    Menlo Park, Ca, Us
    • Designed a systematic approach with unsupervised learning (PCA/T-SNE) to define and quantify overlap across integrity violations on Facebook and Instagram platforms. Analysis drove machine learning cross-detection that will lead to improvement in model performance and save in computing resources.• Processed Meta’s large integrity data with PrestoSQL. Visualized machine learning classifier’s score and embedding with Python (pandas, seaborn, plotly). Implemented fully automated analysis template in Python.• Proactively sought broader impact and drove discussion with cross-functional partners and convinced stakeholders to adopt recommendations in machine learning models and labeling logic in integrity problem area.
  • Cecil G. Sheps Center For Health Services Research, University Of North Carolina At Chapel Hill
    Graduate Research Assistant
    Cecil G. Sheps Center For Health Services Research, University Of North Carolina At Chapel Hill Sep 2016 - May 2018
    Chapel Hill, Nc, Us
  • Cecil G. Sheps Center For Health Services Research, University Of North Carolina At Chapel Hill
    Graduate Teaching Assistant
    Cecil G. Sheps Center For Health Services Research, University Of North Carolina At Chapel Hill Aug 2016 - Dec 2016
    Chapel Hill, Nc, Us
  • Tasly Pharmaceutical International Co.,Ltd.
    Health Economics And Outcome Research Analyst
    Tasly Pharmaceutical International Co.,Ltd. Jul 2017 - Feb 2018
    Tianjin, Tianjin, Cn
  • Care Share Health Alliance
    Summer Intern
    Care Share Health Alliance May 2016 - Sep 2016
    Raleigh, North Carolina, Us
  • Duke University Medical Center
    Assistant Project Coordinator
    Duke University Medical Center Dec 2015 - May 2016
    Us

Yifan Wei Skills

Data Analysis Research Statistics Public Speaking Healthcare Public Health Stata Policy Analysis Sas Literature Reviews Industry Research Microsoft Excel

Yifan Wei Education Details

  • University Of Southern California
    University Of Southern California
    Health Economics
  • University Of North Carolina At Chapel Hill
    University Of North Carolina At Chapel Hill
    Health Policy Analysis
  • Peking University
    Peking University
    Economics
  • Peking University
    Peking University
    General
  • Beijing No.4 High School
    Beijing No.4 High School

Frequently Asked Questions about Yifan Wei

What company does Yifan Wei work for?

Yifan Wei works for Meta

What is Yifan Wei's role at the current company?

Yifan Wei's current role is Applied Scientist PhD Intern @ Uber | PhD Candidate @ USC.

What is Yifan Wei's email address?

Yifan Wei's email address is yifanwei@fb.com

What schools did Yifan Wei attend?

Yifan Wei attended University Of Southern California, University Of North Carolina At Chapel Hill, Peking University, Peking University, Beijing No.4 High School.

What skills is Yifan Wei known for?

Yifan Wei has skills like Data Analysis, Research, Statistics, Public Speaking, Healthcare, Public Health, Stata, Policy Analysis, Sas, Literature Reviews, Industry Research, Microsoft Excel.

Free Chrome Extension

Find emails, phones & company data instantly

Find verified emails from LinkedIn profiles
Get direct phone numbers & mobile contacts
Access company data & employee information
Works directly on LinkedIn - no copy/paste needed
Get Chrome Extension - Free

Aero Online

Your AI prospecting assistant

Download 750 million emails and 100 million phone numbers

Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.