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Posts by Collection
portfolio
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publications
Neural Nonnegative Matrix Factorization For Hiearchical Multilayer Topic Modeling
IEEE CAMSAP, 2019
Recommended citation: M. Gao, J. Haddock, D. Molitor, D. Needell, E. Sadovnik, T. Will, and R. Zhang. (2019). "Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling." Proc. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).
Can an Algorithm Be My Healthcare Proxy?
AAAI International Workshop on Health Intelligence, 2020
Available upon request.
Recommended citation: D. Mcelfresh, S. Dooley, C. Cui, K. Griesman, W. Wang, T. Will, Neil Sehgal, J. Dickerson. (2020). "Can an Algorithm Be My Healthare Proxy?." AAAI International Workshop on Health Intelligence.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
R Shiny Teaching Assistant, STT 200: Statistical Methods
Undergraduate course, Michigan State University, Department of Statistics, 2018
In addition to the usual undergraduate TA responsibilities like grading and exam proctoring, I built interactive R Shiny apps meant to illustrate fundamental statistical concepts to an introductory statistics class of over 1500 students. (I plan to link some example apps soon)
Undergraduate Learning Assistant, MTH 153H: Honors Calculus II
Undergraduate course, Michigan State University, Department of Mathematics, 2019
I served as sole recitation leader, grader, and proctor for an honors calculus course of fifteen students. In addition, I spent significant time as a one-on-one tutor for lower level math classes in MSU’s Math Learning Center.