Will Townes, Ph.D.

Will Townes, Ph.D. Email and Phone Number

Assistant Professor @ Carnegie Mellon University
Pittsburgh, PA, US
Will Townes, Ph.D.'s Location
Pittsburgh, Pennsylvania, United States, United States
Will Townes, Ph.D.'s Contact Details

Will Townes, Ph.D. work email

Will Townes, Ph.D. personal email

Will Townes, Ph.D. phone numbers

About Will Townes, Ph.D.

Machine learning researcher working with large, noisy datasets. Developed novel probabilistic models for scalable, interpretable, and spatially aware dimension reduction. Strong engineering skills implementing complex statistical algorithms in R and python. Team player who can collaborate effectively with diverse stakeholders.Research interests/ technical blog: http://willtownes.github.io/Publications: https://scholar.google.com/citations?user=ERqFrMoAAAAJ

Will Townes, Ph.D.'s Current Company Details
Carnegie Mellon University

Carnegie Mellon University

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Assistant Professor
Pittsburgh, PA, US
Will Townes, Ph.D. Work Experience Details
  • Carnegie Mellon University
    Assistant Professor
    Carnegie Mellon University
    Pittsburgh, Pa, Us
  • Carnegie Mellon University
    Assistant Professor
    Carnegie Mellon University Jul 2022 - Present
    Pittsburgh, Pa, Us
  • Princeton University
    Postdoctoral Researcher
    Princeton University Jul 2019 - Jul 2022
    Princeton, Nj, Us
  • Harvard T.H. Chan School Of Public Health
    Graduate Teaching Assistant
    Harvard T.H. Chan School Of Public Health Jan 2016 - Dec 2018
    Boston, Massachusetts, Us
    * Biostatistics 210- Rates and Proportions (Spring 2016)* Pipelines into Biostatistics (Summer 2016)- summer program for undergraduates: https://www.hsph.harvard.edu/biostatistics/diversity/summer-program/research-projects/* Biostatistics 201- Intro to Statistical Methods (Fall 2016)* Biostatistics 226- Applied Longitudinal Analysis (Spring 2017)* Biostatistics 228- Applied Bayesian Analysis (Fall 2017)* Biostatistics 210- Applied Regression Analysis (Fall 2018)
  • Sra International
    Test Engineer
    Sra International Jul 2008 - May 2014
    Falls Church, Va, Us
    Software requirements and testing for the nation-wide Emissions Inventory System (EIS), Energy Star Buildings & Plants website redesign, and Qualified Products Exchange upgrade.
  • University Of The Philippines
    Fulbright Scholar
    University Of The Philippines Jun 2007 - Mar 2008
    Quezon City, Metro Manila, Ph
    I worked with faculty and students at the Institute of Biology in Quezon City, and performed a forest ecology experiment while living with an indigenous community in Bataan Province.

Will Townes, Ph.D. Skills

Python R Statistics Sql Agile Methodologies Microsoft Excel Sas Testing Data Mining Java Bioinformatics Data Analysis Regression Testing Research Excel Xml Selenium Machine Learning

Will Townes, Ph.D. Education Details

  • Harvard University
    Harvard University
    Biostatistics
  • Georgetown University
    Georgetown University
    Mathematics And Statistics
  • Washington And Lee University
    Washington And Lee University
    Biology
  • North Carolina School Of Science And Mathematics
    North Carolina School Of Science And Mathematics

Frequently Asked Questions about Will Townes, Ph.D.

What company does Will Townes, Ph.D. work for?

Will Townes, Ph.D. works for Carnegie Mellon University

What is Will Townes, Ph.D.'s role at the current company?

Will Townes, Ph.D.'s current role is Assistant Professor.

What is Will Townes, Ph.D.'s email address?

Will Townes, Ph.D.'s email address is wi****@****sra.com

What is Will Townes, Ph.D.'s direct phone number?

Will Townes, Ph.D.'s direct phone number is +133698*****

What schools did Will Townes, Ph.D. attend?

Will Townes, Ph.D. attended Harvard University, Georgetown University, Washington And Lee University, North Carolina School Of Science And Mathematics.

What skills is Will Townes, Ph.D. known for?

Will Townes, Ph.D. has skills like Python, R, Statistics, Sql, Agile Methodologies, Microsoft Excel, Sas, Testing, Data Mining, Java, Bioinformatics, Data Analysis.

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