- September 27, Emmanouil “Manolis” Maragkakis
Abstract: Aging, while seemingly a universal feature of life, is surprisingly difficult to define. New studies describe aging as a correlated set of declines in functioning with advancing chronological age, which generally begins after sexual maturity. Understanding the regulation of these declines is crucial for the development of interventions and disease therapies but requires the coordinated integration of multidimensional information. Dr. Maragkakis focuses on understanding this high-dimensional regulation of gene expression as a key component of discovering the mechanistic basis of the physiology and diseases of aging. His lab employs experimental and computational approaches to discover fundamental biological mechanisms that control RNA stability and dynamics. They develop tools to integrate high-throughput short- and long-read sequencing and machine learning to decipher the defining features of co-translational mRNA decay, how it is regulated, and the downstream effects of RNA dynamics in aging organs, tissues, and cells.
- September 20, Zeying Wang
Abstract : The Talk is situated in the area of Combinatorial Design Theory, a subfield of Discrete Mathematics. In particular, I will focus on so-called partial difference sets (PDSs) in finite abelian groups. These are combinatorially defined subsets of a finite group that give rise to highly symmetric graphs called strongly regular Caley graphs. A few years ago we proved a theorem for strongly regular graphs that provides numerical restrictions on the number of fixed vertices and the number of vertices mapped to adjacent vertices under an automorphism. We then used this result to develop some new techniques to study regular partial difference sets in abelian groups. We have proved several non-existence results and classification results for partial difference sets in abelian groups. Also we completely answered a classical question from the 1990s: "For which odd positive integer v>1, can we find a Paley type partial difference set in an abelian group of order v?" In this talk I plan to give an overview of these results. The talk will be accessible to non-specialists.
- Feb. 9, 2021: Sauleh Siddiqui (AU)
"A Bilevel Optimization Method for an Exact Solution to Equilibrium Problems with Binary Variables"
- Feb. 16, 2021: Yei Eun Shin (NIH, NCI)
"Weight calibration to improve efficiency for estimating pure absolute risks from the proportional and additive hazards model in the nested case-control design"
- Feb. 23, 2021: Nate Strawn (Georgetown, NIH, NCI)
"Isometric Data Embeddings: Visualizations and Lifted Signal Processing"
- Mar. 16, 2021: Stephen D. Casey (AU, Personnel Data Research Institute)
& Thomas J. Casey (AU)
"The Analysis of Periodic Point Processes"
- Mar. 23, 2021: Zois Boukouvalas (AU)
"Independent Component and Vector Analyses for Explainable Detection of Misinformation During High Impact Events"
- Mar. 30, 2021: Der-Chen Chang (Georgetown)
"Introduction to ̄∂-Neumann Problem"
- Apr. 14, 2021: John M. Abowd (US Census Bureau)
9/8/2020: Stephen D. Casey, American University; Norbert Wiener Center University of Maryland
A New Architecture for Cell Phones Sampling via Projection for UWB and AFB Systems
9/15/2020: Martha Dusenberry Pohl, American University
Further Visualizations of the Census: ACS, Redistricting, Names Files; & HMDA using Shapefiles, BISG, Venn Diagrams, Quantification, 3-D rotation, & Animation
9/22/2020: Michael Baron, American University
Statistical analysis of epidemic counts data: modeling, detection of outbreaks, and recovery of missing data
9/29/2020: Soutrik Mandal, Division of Cancer Epidemiology and Genetics (National Cancer Institute, National Institutes of Health)
Incorporating survival data to case-control studies with incident and prevalent cases
10/13/2020: John P. Nolan, American University
Hitting objects with random walks
10/20/2020: Yuri Levin-Schwartz, Icahn School of Medicine at Mount Sinai
Machine learning improves estimates of environmental exposures
10/27/2020: Nathalie Japkowicz, American University
Harnessing Dataset Complexity in Classification Tasks
11/10/2020: Anthony Kearsley, NIST
11/17/2020: Donna Dietz, American University
An Analysis of IQ-Link (TM)
1/21/2020: Justin Pierce, Federal Reserve Washington DC
Examining the Decline in US Manufacturing Employment
1/28/2020: Ruth Pfeiffer, Biostatistics Branch, National Cancer Institution, NIH
Sufficient dimension reduction for high dimensional longitudinally measured biomarkers
2/11/2020: Erica L. Smith, Bureau of Justice Statistics, US Dept. of Justice
Overview of Department of Justice Statistical Data Collections Related to Gun Violence
2/18/2020: Sudip Bhattacharjee, University of Connecticut
A Text Mining and Machine Learning Platform to Classify Businesses into NAICS codes
2/25/2020: Avi Bender, National Technical Information Service (NTIS)
Data Science Skills for Delivering Mission Outcome: An interactive discussion with the Director of the National Technical Information Service (NTIS), US Department of Commerce
9/10/2019: Dr. Scott Parker, American University
Some useful information about the Wilcoxon-Mann Whitney test and effect size measurement
9/17/2019: Dr. Michael Robinson, American University
Radio Fox Hunting using Sheaves
9/24/2019: Dr. Zois Boukouvalas, American University
Data Fusion in the Age of Data: Recent Theoretical Advances and Applications
10/8/2019: Dr. Elizabeth Stuart, Johns Hopkins
Assessing and enhancing the generalizability of randomized trials to target populations
10/15/2019: Latif Khalil, JBS International, Inc.
Entity Resolution Techniques to Significantly Improve Healthcare Data Quality
10/22/2019: Dennis Lucarelli, American University
Steering qubits, cats and cars via gradient ascent in function space
10/29/2019: Michael Thieme, Assistant Director for Decennial Census Programs, Systems and Contracts
Census 2020 - Clear Vision for the Country
11/12/2019: John Eltinge, US Census Bureau
Transparency and Reproducibility in the Design, Testing, Implementation and Maintenance of Procedures for the Integration of Multiple Data Sources
11/19/2019: Xander Faber, Institute for Defense Analyses, Center for Computing Sciences