Jingyan Fu

PHD Student at Rice University
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Contact Information
us****@****om
(386) 825-5501
Location
Montreal, Quebec, Canada, CA
Languages
  • Chinese Native or bilingual proficiency
  • Spanish Limited working proficiency
  • English Professional working proficiency

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Experience

    • United States
    • Higher Education
    • 700 & Above Employee
    • PHD Student
      • Sep 2022 - Present

      1st year PhD student in Statistics. Field of interest includes Bayesian methods, clinical trials and computational neuroscience. 1st year PhD student in Statistics. Field of interest includes Bayesian methods, clinical trials and computational neuroscience.

    • Canada
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Participant
      • Jun 2020 - Aug 2020

      Received extensive Training on Machine Learning and Deep Learning techniques. Applied NLP techniques in Python to detect negative messages on social media • Performed Profile Analysis of selected twitter users including their ethnicity, political stance and interest. • Tokenized messages with Word2Vec and weighted the vocabularies with TF-IDF in scikit-learn. • Used Naïve-Bayes method as a baseline and further applied logistic model and SVM method • Improved model accuracy from 71% to 87% by adding frequency search on bi-grams and tri-grams • Evaluated the negative effect by computing the exponential moving average of the 8 most recent tweets Show less

    • Canada
    • Higher Education
    • 700 & Above Employee
    • Research Assistant
      • May 2019 - Aug 2019

      • Selected 27 from 150 relevant paper and extract raw data of rodents that went to space in the past decades • Constructed meta-analysis for 14 bone-related outcomes with normalization using innovated sampling-by-size method • Performed subgrouping analysis based on the species, treatments and bone areas for each measurement • Reduced heterogeneity with multiple data exclusion and performed meta-regression to find significant parameters • Selected 27 from 150 relevant paper and extract raw data of rodents that went to space in the past decades • Constructed meta-analysis for 14 bone-related outcomes with normalization using innovated sampling-by-size method • Performed subgrouping analysis based on the species, treatments and bone areas for each measurement • Reduced heterogeneity with multiple data exclusion and performed meta-regression to find significant parameters

    • Content Editor
      • Nov 2016 - Sep 2017

      • Organized a two-day conference focused on female filmmakers in the Canadian and Chinese film industry • Wrote posts on filming techniques on Wechat social platform and drafted reports for the press conference • Translated all Chinese and English contents and revised a 95-page event brochure. • Organized a two-day conference focused on female filmmakers in the Canadian and Chinese film industry • Wrote posts on filming techniques on Wechat social platform and drafted reports for the press conference • Translated all Chinese and English contents and revised a 95-page event brochure.

    • Software Test Engineer
      • Jun 2017 - Aug 2017

      • Tested functions of online questionnaire service and debugged errors • Described hypothetical questions with answers in the FAQ section and contributed to the user manual • Collected data from existed questionnaires and processed data analysis on certain metrics in Excel • Presented the workflow of online service to novel customers • Tested functions of online questionnaire service and debugged errors • Described hypothetical questions with answers in the FAQ section and contributed to the user manual • Collected data from existed questionnaires and processed data analysis on certain metrics in Excel • Presented the workflow of online service to novel customers

Education

  • Rice University
    Doctor of Philosophy - PhD, Statistics
    2022 - 2026
  • McGill University
    Master of Science - MS, Biostatistics
    2020 - 2022
  • McGill University
    Bachelor of Science - BS, Mathematics
    2015 - 2020

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