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  1. John Alex

    https://qubeshub.org/community/members/35377

  2. John Hafner

    https://qubeshub.org/community/members/31942

  3. Kaiying O'Hare

    I am Kaiying O'Hare. I am a postdoc in Applied Mathematics and Statistics at Johns Hopkins University. I received my PhD from the Ohio State University. I am currently working on GNN problems.

    https://qubeshub.org/community/members/46714

  4. Kalai Ramea

    https://qubeshub.org/community/members/9682

  5. Keith John Wojciechowski

    https://qubeshub.org/community/members/8081

  6. Machine Learning Meets Medicine with Jenessa Peterson

    20 May 2022 | Teaching Materials | Contributor(s):

    By Janessa Peterson1, Megan Seifert2

    1. The Learning Agency 2. Headwaters Science Institute

    Jenessa Peterson is a former teacher turned data scientist/engineer and Director of Learning Engineering at The Learning Agency. Her more recent work in data science has included building a...

    https://qubeshub.org/publications/3169/?v=1

  7. Marco Buongiorno Nardelli

    https://qubeshub.org/community/members/46544

  8. Michael Igorevich Ivanitskiy

    https://qubeshub.org/community/members/47149

  9. Nazia Riasat

    I am Nazia, a fifth-year Ph.D. student in Statistics at NDSU. Currently, I am working as a Graduate Research Assistant, where I have had the privilege of collaborating with the esteemed faculty in...

    https://qubeshub.org/community/members/47059

  10. Oluwafolake Ayano

    https://qubeshub.org/community/members/38163

  11. Paul Samuel Padasas Ignacio

    I am a 34 year-old Filipino scientist. I speak English and Filipino (Tagalog) fluently. My hobbies and recreational interests include visiting parks, taking photographs, and learning about...

    https://qubeshub.org/community/members/46998

  12. RESOURCES: Amazing course in statistical learning available freely on interwebs!

    09 Jul 2015 | Posted by Jeremy M Wojdak

    The authors of "An Introduction to Statistical Learning: with Applications in R", (Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani) have graciously made available a...

    https://qubeshub.org/news/blog/2015/07/amazing-course-in-statistical-learning-available-freely-on-interwebs

  13. Richard Cornford

    https://qubeshub.org/community/members/16398

  14. Road Map for Choosing Between Statistical Modeling and Machine Learning

    Collections | 23 Oct 2018 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/dsube/collections/machine-learning

  15. Rolando Kindelan

    I am PhD Candidate in Computer Science at University of Chile working on the intersection of Topological Data Analysis, Compact Data Structures and Machine Learning. In my spare time I like to see...

    https://qubeshub.org/community/members/46741

  16. Sanghoon Na

    I am in the 4th year of the MATH Ph.D. program at the University of Maryland, College Park. My research interests are theoretical machine learning and compression methods (data and neural networks).

    https://qubeshub.org/community/members/47009

  17. Sergei Dumnov

    https://qubeshub.org/community/members/8346

  18. Shashank Sule

    https://qubeshub.org/community/members/46703

  19. Smithsonian Data Science Lab postdoctoral fellowships

    Collections | 02 Apr 2019 | Posted by Rebecca Dikow

    https://qubeshub.org/community/groups/edsin/collections/opportunities-in-the-field

  20. The ml4bio Workshop: Machine Learning Literacy for Biologists

    02 Jun 2019 | Teaching Materials | Contributor(s):

    By Fangzhou Mu1, Chris Magnano1, Debora Treu2, Anthony Gitter1

    1. University of Wisconsin - Madison 2. Morgridge Institute for Research

    Presentation on machine learning literacy for biologists at the 2019 Great Lakes Bioinformatics Conference

    https://qubeshub.org/publications/1252/?v=1

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