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Ming-Chen (Amy) Lu Email & Phone Number

Senior Biostatistician @ UMich Medical School at Michigan Medicine
Location: Ann Arbor, Michigan, United States 9 work roles 4 schools
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Current company
Michigan Medicine
Role
Senior Biostatistician @ UMich Medical School
Location
Ann Arbor, Michigan, United States
Company size
14065 employees

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Ming-Chen (Amy) Lu is listed as Senior Biostatistician @ UMich Medical School at Michigan Medicine, a company with 14065 employees, based in Ann Arbor, Michigan, United States. AeroLeads shows a matched LinkedIn profile for Ming-Chen (Amy) Lu.

Ming-Chen (Amy) Lu previously worked as Senior Biostatistician at Michigan Medicine and Biostatistician at Michigan Medicine. Ming-Chen (Amy) Lu holds M.S. In Applied Statistics from University Of Michigan.

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Michigan Medicine

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Profile bio

About Ming-Chen (Amy) Lu

Data science/Statistics profession with 2-year work experience in tech and education industry. Strong passion for user behavioral analysis and product innovation using data science. Analytics expertise in statistical modeling, machine learning, natural language processing, experimental design, A/B testing, large complex data manipulation, and visualization.Actively seeking job opportunity related to product and data science. Eager to leverage analytics professions to discover data insights and make a business impact.► Tools: Python (Numpy, Pandas, SciPy, scikit-learn, nltk, PyTorch), R (dplyr, data.table, ggplot2), SQL, Hadoop, PySpark, Tableau, Shell Script, LaTex, Stata, SASContact me: mingchlu@umich.edu

Listed skills include Leadership, R, R (Programming Language, Data Analysis, and 15 others.

Current workplace

Ming-Chen (Amy) Lu's current company

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Michigan Medicine
Michigan Medicine
Senior Biostatistician @ UMich Medical School
Ann Arbor, MI, US
Website
uofmhealth.org
Employees
14065
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9 roles

Ming-Chen (Amy) Lu work experience

A career timeline built from the work history available for this profile.

Senior Biostatistician

Current
Michigan Medicine

Ann Arbor, MI, US

Sep 2024 - Present

Biostatistician

Michigan Medicine

Ann Arbor, MI, US

  • Led statistical analyses by conducting univariate testing, ANOVA, and regression analysis on 10+ projects to meet Statistical Analysis Plans (SAPs) requirement
  • Co-authored 3 manuscripts that analyzed electronic health records and clinical research data obtained from 2 randomized controlled trials using R and SAS
  • Consulted with clinical and epidemiology investigators on their needs for statistical design of studies
  • Advised data integrity and quality on research database design and data collection process
  • Created tables, listings, and figures for CDC grant applications and NIH clinical study report
  • Supported clinical research by attending regulatory agency meetings and reviewing grant proposals
Jun 2021 - Aug 2024

Deep Learning Research Assistant

Michigan Institute For Data Science (Midas)

Ann Arbor, Michigan, US

  • Implemented deep learning models on high performance computing clusters for face detection and gender recognition in 24K+ digitized artwork
  • Collaborated with artists and museum curators to visualize findings for general public via Python
  • Exhibited findings on display at the University of Michigan Museum of Art
Feb 2021 - Apr 2021

Data Science Intern

University Of Michigan - Center For Academic Innovation

Ann Arbor, Michigan, US

  • Preprocessed 2TB semi-structured clickstream data stored in Hadoop environment via Pyspark
  • Saved 70% reporting time by building auto dashboard to quantify 7M+ website traffic with Tableau
  • Reduced 5% error rate by training models to forecast learners enrollments of 100+ online courses (11M+ rows)
  • Implemented non-linear regression models on 72K+ data to gain insights about user engagement in online learning
  • Supported cross-functional teams with product development by conducting ad hoc analysis and building R shiny app
Feb 2020 - Apr 2021

Grader

University Of Michigan

Ann Arbor, Michigan, US

  • Grader of Introduction to Statistics and Data Analysis
  • Assisted 80+ students with understanding of statistical concepts by grading weekly problem sets and providing feedback online
Sep 2019 - May 2020

Data Science Intern

Academia Sinica, Taiwan

Taipei City, Taipei City, TW

  • Academic Sinica is a leading national research institution in Taiwan.
  • Assisted senior consultants with statistical advising, including data preprocessing, hypothesis testing, power analysis, statistical modeling, preparation of presentation materials and analysis report
  • Synthesized 85K+ unstructured data and measured test validity via logistic regression model for biotech company
  • Improved interpretation of clinical diagnostics by visualizing performance measurement via R ggplot2
Mar 2019 - Jun 2019

Data Analyst Intern

Microsoft

Redmond, Washington, US

  • Reduced 50% weekly reporting time by designing automated program to compile sales report for sector meetings
  • Accelerated 3K+ customer data integration by developing string-searching algorithm within 2 months in the role
Jul 2017 - Jul 2018
Team & coworkers

Colleagues at Michigan Medicine

Other employees you can reach at uofmhealth.org. View company contacts for 14065 employees →

AG Amber Gordon Amber Gordon Colleague at Michigan MedicineYpsilanti, Michigan, United States, United States View → NS Nick Sierakowski Nick Sierakowski Colleague at Michigan MedicineFenton, Michigan, United States, United States View → BA Brent Atkinson Brent Atkinson Colleague at Michigan MedicineNorthville, Michigan, United States, United States View → CZ Christine Zylka, Bs, Rhit Christine Zylka, Bs, Rhit Colleague at Michigan MedicineCanton, Michigan, United States, United States View → JF Jeremy Fallis Jeremy Fallis Colleague at Michigan MedicineAnn Arbor, Michigan, United States, United States View → GS Georgiana Sanders Georgiana Sanders Colleague at Michigan MedicineAnn Arbor, Michigan, United States, United States View → SW Snyder Wendy Snyder Wendy Colleague at Michigan MedicineAnn Arbor, Michigan, United States, United States View → KN Kevin Noble Kevin Noble Colleague at Michigan MedicineYpsilanti, Michigan, United States, United States View → MW Maribel Weitz Maribel Weitz Colleague at Michigan MedicineWestland, Michigan, United States, United States View → BH Brenda Hess Brenda Hess Colleague at Michigan MedicineCanton, Michigan, United States, United States View →
4 education records

Ming-Chen (Amy) Lu education

M.S. In Applied Statistics

University Of Michigan

B.S. In Statistics

National Chengchi University

Exchange Program

Rotterdam School Of Management, Erasmus University

Summer Program, International Business

University Of California, Berkeley
FAQ

Frequently asked questions about Ming-Chen (Amy) Lu

Quick answers generated from the profile data available on this page.

What company does Ming-Chen (Amy) Lu work for?

Ming-Chen (Amy) Lu works for Michigan Medicine.

What is Ming-Chen (Amy) Lu's role at Michigan Medicine?

Ming-Chen (Amy) Lu is listed as Senior Biostatistician @ UMich Medical School at Michigan Medicine.

Where is Ming-Chen (Amy) Lu based?

Ming-Chen (Amy) Lu is based in Ann Arbor, Michigan, United States while working with Michigan Medicine.

What companies has Ming-Chen (Amy) Lu worked for?

Ming-Chen (Amy) Lu has worked for Michigan Medicine, Michigan Institute For Data Science (Midas), University Of Michigan - Center For Academic Innovation, University Of Michigan, and Academia Sinica, Taiwan.

Who are Ming-Chen (Amy) Lu's colleagues at Michigan Medicine?

Ming-Chen (Amy) Lu's colleagues at Michigan Medicine include Amber Gordon, Nick Sierakowski, Brent Atkinson, Christine Zylka, Bs, Rhit, and Jeremy Fallis.

How can I contact Ming-Chen (Amy) Lu?

You can use AeroLeads to view verified contact signals for Ming-Chen (Amy) Lu at Michigan Medicine, including work email, phone, and LinkedIn data when available.

What schools did Ming-Chen (Amy) Lu attend?

Ming-Chen (Amy) Lu holds M.S. In Applied Statistics from University Of Michigan.

What skills is Ming-Chen (Amy) Lu known for?

Ming-Chen (Amy) Lu is listed with skills including Leadership, R, R (Programming Language, Data Analysis, Tableau, Sas, Stata, and Microsoft Word.

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