March 9th – 10th @ Rackham Building
About
The Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) is an annual event organized by graduate students in the Biostatistics, Electrical Engineering & Computer Science (EECS), Industrial & Operations Engineering (IOE), Statistics and Survey and Data Science (MPSDS) departments at the University of Michigan.
The goal of this symposium is to create an environment that allows communication across related fields of statistical sciences and promotes interdisciplinary research among students and faculty. It encourages students to present their work, share insights, and exposes them to diverse applications of statistical sciences. Though hosted by five departments, we extend our invitation to students from all departments across the University to present their statistical research in the form of an oral presentation or a poster. It also provides an excellent environment for interacting with students and faculty from other areas of statistical research on campus.
MSSISS is an opportunity for interdisciplinary research and discussion across the fields of statistical sciences. Calling all graduate students (as well as talented undergraduates)! Come along, present your work, share insights, and learn about the diverse applications of statistical sciences.
Faculty Speakers
Kosuke Imai
Professor of Political Science and Statistics, Harvard University
Walter Dempsey
Assistant Professor of Biostatistics and Assistant Research Professor at the Institute for Social Research, University of Michigan-Ann Arbor
Student Presentations
57
student research projects
9
departments across campus
5
presentation sessions
Best Oral Presentation
Madeline Abbott
A latent variable approach to jointly modeling emotions and cigarette use in a mobile health study of smoking cessation
Best Speed Oral Presentation
Declan McNamara
Likelihood-Free Inference for Deblending Galaxy Spectra
Best Poster
Alexander Kagan
Influence Maximization under Generalized Linear Threshold Models
Honorable Mention
Jieru(Hera) Shi
Debiased machine learning of causal excursion effects to assess time-varying moderation
Honorable Mention
Huda Bashir
Racial residential segregation and adolescent birth rates in Brazil: a cross-sectional study in 152 cities, 2014-2016
Honorable Mention
Felipe Maia Polo
Conditional Independence Testing under Model Misspecification
Honorable Mention
Shushu Zhang
Estimation and Inference for High-dimensional Expected Shortfall Regression
Honorable Mention
Kiran Kumar
Refining Ancient Genomes
Honorable Mention
Simon Nguyen
Optimal Full Matching under a New Constraint on the Sharing of Controls Application in Pediatric Critical Care
Organizing Committee
Student Organizing Committee
Mukai Wang
PhD Student, Biostatistics
Deji Suolang
PhD Student, Survey and Data Science
Ki Hong
PhD Student, Statistics
Naichen Shi
PhD Student, Industrial and Operations Engineering
Yilun Zhu
PhD Student, Electrical Engineering and Computer Science
Faculty Advisory Committee
William Xiaoquan Wen
Professor of Biostatistics
Raed Al Kontar
Assistant Professor of Industrial and Operations Engineering
Johann Gagnon-Bartsch
Associate Professor of Statistics
Brady West
Research Professor of Survey and Data Science
Clayton Scott
Professor of Electrical Engineering and Computer Science and of Statistics