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About me
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Short description of portfolio item number 1
Short description of portfolio item number 2
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).
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.
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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 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.