2021
Student Seminar: Dongyue Xie
12:30–2:00 pm Via Zoom
Dissertation Proposal Presentation
DONGYUE XIE, Department of Statistics, The University of Chicago
“Empirical Bayes Smoothing Methods in High-throughput Sequencing Data”
Student Seminar: Jongyoon Baik
9:00–9:30 am Jones 304
Master’s Thesis Presentation
JONGYOON BAIK, Department of Statistics, The University of Chicago
“Retrieving True Preference Under Authoritarianism”
Data Science Institute Distinguished Speaker Series: Jenna Wiens
3:00–4:00 pm JCL 390 and via Zoom
John Crerar Library Building, Room 390, and online via Zoom or YouTube (https://youtu.be/maC_Vs_n3QA). Please register (https://www.eventbrite.com/e/jenna-wiens-michigan-augmenting-clinical-decision-making-with-ai-tickets-198441161857) and choose your preference for additional details
JENNA WIENS, Associate Professor, Department of Computer Science and Engineering CSE), Associate Director of the AI Lab, and co-Director of Precision Health, University of Michigan, Ann Arbor
“From Diagnosis to Treatment: Augmenting Clinical Decision Making with Artificial Intelligence”
Student Seminar: Luca Mattachini
2:00–2:30 pm Via Zoom
Master’s Thesis Presentation
LUCA MATTACHINI, Department of Statistics, The University of Chicago
“Spatial-Temporal Modeling of Weather Data”
Statistics Colloquium: Axel Munk
12:30–1:30 pm Via Zoom
AXEL MUNK, Department of Mathematics and Computer Science, Georg August University Göttingen and Max Planck Institute for Biophysical Chemistry
“Nanostatistics”
Statistics Colloquium: Ahmed El Alaoui
4:30–5:30 pm Via Zoom
AHMED EL ALAOUI, Department of Statistics and Data Science, Cornell University
“Optimization and Sampling from Random Quadratic Potentials”
Student Seminar: Hao Duan
1:30–2:00 pm Via Zoom
Master’s Thesis Presentation
HAO DUAN, Department of Statistics, The University of Chicago
“Investigation of a Nonparametric Copula Approach to Conditional Value-at-Risk and Conditional Expected Shortfall”
Student Seminar: Qiqing Xu
1:00–1:30 pm Via Zoom
Master’s Thesis Presentation
QIQING XU, Department of Statistics, The University of Chicago
“A Comparison of Semi-nonparametric Bootstrapping Approaches with Nonparametric Index Estimations for Determining Value-at-Risk”
Statistics Colloquium: Lorin Crawford
4:30–5:30 pm Via Zoom
LORIN CRAWFORD, Microsoft Research New England; Department of Biostatistics, Brown University
“Statistical Frameworks for Variable Selection with 3D Shapes and High-Resolution Imaging”
Data Science Institute Distinguished Speaker Series: Aarti Singh
3:00–4:00 pm JCL 390
This event will take place online via Zoom and Youtube. Register for details at https://www.eventbrite.com/e/aarti-singh-learning-and-decision-making-with-preferential-supervision-tickets-190768211857.
Aarti Singh, Machine Learning Department, School of Computer Science, Carnegie-Mellon University
“Learning and Decision Making with Preferential Supervision”