Lan Luo

Assistant Professor of Biostatistics at Rutgers School of Public Health
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Contact Information
us****@****om
(386) 825-5501
Location
Piscataway, New Jersey, United States, JE

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Credentials

  • 200-Hour Yoga Teacher Training Certificate
    aUM yoga
    Dec, 2018
    - Oct, 2024

Experience

  • Rutgers School of Public Health
    • United States
    • Higher Education
    • 1 - 100 Employee
    • Assistant Professor of Biostatistics
      • Jul 2023 - Present
  • University of Iowa College of Liberal Arts & Sciences
    • United States
    • Higher Education
    • 1 - 100 Employee
    • Assistant Professor
      • Aug 2020 - Jul 2023
  • University of Michigan School of Public Health
    • United States
    • Higher Education
    • 300 - 400 Employee
    • Graduate Student Research Assistant
      • Sep 2017 - Aug 2020

      Black Women's Wellness Project.(1) Conduct randomization procedure achieving balances between intervention and control groups in terms of sample size, geographic location and age(2) Data cleaning and preliminary analysis using SAS

    • Doctoral Candidate
      • Sep 2016 - Aug 2020

      Streaming Data Analytics and Real-time Regression Analysis.(1) Developed a new online framework of renewable estimation and incremental inferencein generalized linear models and longitudinal data models. This new method performs real-time analysis with current data and summary statistics of historical data, but with no use of any historical subject-level data(2) Developed an R package RenewGLM(3) Real-time regression analysis of streaming clustered data with or without abnormal data batches (4) Real-time estimation and inference with Kalman Filter (ongoing) Show less

    • Research Associate II
      • Sep 2018 - Nov 2018

      Chicago Fathers and Sons Study.Conduct randomization procedure achieving balances between intervention and control groups

    • Data Analyst
      • Feb 2017 - Jun 2017

      Tracking Data Analysis.Established procedures for pre-processing and modeling of high frequency basal body temperature measurements via Hidden Markov Model (HMM), as well as prediction of ovulation by incorporating biorhythm information

  • Google
    • United States
    • Software Development
    • 700 & Above Employee
    • Data Scientist Intern
      • May 2019 - Aug 2019

      Three-month data scientist intern at Google Play Analytics. (1) Continuous monitoring of A/B testing with false alarm rate control and valid confidence intervals (2) Extension to sequential multiple hypothesis testing to monitor several metrics simultaneously (3) Collaborate with engineers on possible migration to Niffler system Three-month data scientist intern at Google Play Analytics. (1) Continuous monitoring of A/B testing with false alarm rate control and valid confidence intervals (2) Extension to sequential multiple hypothesis testing to monitor several metrics simultaneously (3) Collaborate with engineers on possible migration to Niffler system

    • Graduate Student Research Assistant
      • Sep 2015 - Apr 2016

      Effect of Contamination on DNA Sequencing Data. (1) Conducted genotype calling from contaminated DNA sequencing data, and calculated concordance between contaminated and true genotypes (2) Designed simulations to assess the effects of contamination, sequencing depth, minor allele frequency and quality score on genotype calling Effect of Contamination on DNA Sequencing Data. (1) Conducted genotype calling from contaminated DNA sequencing data, and calculated concordance between contaminated and true genotypes (2) Designed simulations to assess the effects of contamination, sequencing depth, minor allele frequency and quality score on genotype calling

    • CPHG Summer Internship
      • May 2015 - Jul 2015

      Solving Constrained Optimisation Problems via ADMM. (1) Solved L1-regularized equality-constrained generalized linear models via ADMM (Al- ternating Direction Method of Multipliers) and inexact-ADMM (2) Developed an R package glmADMM Solving Constrained Optimisation Problems via ADMM. (1) Solved L1-regularized equality-constrained generalized linear models via ADMM (Al- ternating Direction Method of Multipliers) and inexact-ADMM (2) Developed an R package glmADMM

  • BGI Shenzhen
    • China
    • Research Services
    • Data Analyst
      • Dec 2013 - May 2014

      Cancer Genome Research Group. (1) Developed a pipeline toolbox for analyzing recurrent copy number alternation (CNA) (2) Implemented a calculator for the timing of various stages of tumor progression Cancer Genome Research Group. (1) Developed a pipeline toolbox for analyzing recurrent copy number alternation (CNA) (2) Implemented a calculator for the timing of various stages of tumor progression

Education

  • The University of Michigan Ann Arbor
    Doctor of Philosophy (Ph.D.), Biostatistics
    2016 - 2020
  • The University of Michigan Ann Arbor
    Master of Science (M.S.), Biostatistics
    2014 - 2016
  • Huazhong University of Science and Technology
    Bachelor of Science (B.S.), Biology/Biological Sciences, General
    2009 - 2013

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