2022
CAM Colloquium: Yuehaw Khoo
4:00–5:00 pm Jones 303
YUEHAW KHOO, Department of Statistics, the University of Chicago
“Scientific Computing for Statistical Mechanics and Quantum Systems”
Statistics Colloquium: Daniela Witten
4:30–5:30 pm Jones 303
DANIELA WITTEN, Departments of Biostatistics and Statistics, University of Washington
“Double dipping: problems and solutions, with application to single-cell RNA-sequencing data”
DSI 2022 Distinguished Speaker Series: Bo Li
12:00–1:30 pm JCL 390
BO LI, University of Illinois, Urbana-Champaign
“Robustness, Fairness, Privacy, and Their Interconnections”
DSI Events: DATA, A.I., and the Ethical Imperative
Through October 8, 2022 Harris School of Public Policy-Keller Center
Join us for two days of in-depth discussions on the ethics of emerging data-driven technologies.
CAM Colloquium: Di Fang
4:00–5:00 pm Jones 303
DI FANG, Simons Institute for the Theory of Computing and Department of Mathematics, University of California, Berkeley
“Quantum Algorithms for Hamiltonian Simulation with Unbounded Operators”
Big Data and Machine Learning in Econometrics, Finance, and Statistics
Through October 8, 2022 William Eckhardt Research Center (ERC), Room 161
Organized by the University of Chicago Stevanovich Center for Financial Mathematics.
No registration needed.
SCIENTIFIC ORGANIZING COMMITTEE
Rina Foygel Barber, University of Chicago, Chao Gao, University of Chicago, Roger Lee, University of Chicago, Per Mykland, University of Chicago, Niels Nygaard, University of Chicago, Rebecca Willett, University of Chicago, Dacheng Xiu, University of Chicago, Lan Zhang, University of Illinois at Chicago.
Statistics Colloquium: Chao Gao
4:30–5:30 pm Jones 303
CHAO GAO, Department of Statistics, The University of Chicago
“Detection and Recovery of Sparse Signal Under Correlation”
CAM Colloquium: Christof Sparber
4:00–5:00 pm Jones 303
CHRISTOF SPARBER, Department of Mathematics, Statistics & Computer Science (MSCS), University of Illinois Chicago
“Nonlinear Ground States and The Long-time Behavior of Nonlinear Schrödinger Equations”
Student Seminar: Andrew Goldstein
12:00–2:00 pm Jones 304
Dissertation Presentation and Defense
ANDREW GOLDSTEIN, Department of Statistics, The University of Chicago
“A Variational Bayesian Approach for Combining Weak Learners into a Strong Learner in Regression Problems”
DSI Summer Lab Presents: Data & Democracy, From the Experts
4:30–6:30 pm Keller Center
Leveraging data science is essential to understanding—and developing innovative solutions to—the challenges facing democracy in the digital age. Through a partnership between the Data Science Institute and Center for Effective Government, UChicago’s Data & Democracy initiative is bringing together world-class talent from scholars across academic disciplines and practitioners on the front lines of our democracy to advance this important work.