Comet Calendar, The Official Event Calendar for UT Dallas en-us This week's events for Natural Sciences & Mathematics at UT Dallas NSM Biological Sciences 2017 Spring Seminar Series Presents: Kathy Fange Liu, PhD Postdoctoral Fellow, Howard Hughes Medical Institute The University of Chicago Thursday, Jan 19
(3 p.m. - 4 p.m.)

One Cupin Platform, A Kaleidoscope of Biological Functions

With limited structural platforms, nature has evolved distinct proteins to perform physical, chemical, and biological functions necessary for all kingdoms of life. The cupin superfamily of proteins, constituting a conserved barrel domain, is one of the nature's most popular structural platforms because it is the most functionally diverse protein superfamily. This seminar will present the case study on a trio of cupin proteins. From the dioxygenase activity, redox sensing, cellular signaling, to RNA epigenetics,  these cupin proteins perform a landscape of biological functions based a simple structural framework. The closer look of the proteins from biochemistry, spectroscopy, structural and cellular biology perspectives provides the molecular level understanding the interplay of chemistry and biology.

Mathematical Sciences Colloquium by Michael B. Sohn Friday, Jan 20
(2 p.m. - 3 p.m.)

Michael B. Sohn

Department of Biostatistics and Epidemiology

University of Pennsylvania

Statistical Methods in Microbiome Data Analysis

Microbiome study involves new computational and statistical challenges due to unique characteristics of microbiome data: highly sparse, skewed, over-dispersed, and high-dimensional. In this talk, I will present two methods: 1) a GLM-based latent variable ordination method to resolve potential problems of the distanced-based ordination method, such as principal component analysis (PCoA), under strong dispersion effect, and 2) a compositional mediation model to extend the applicability of mediation analysis to a model with high-dimensional compositional mediators. The proposed mediation model utilizes the algebraic structure of composition under the simplex space and a constrained linear regression model to achieve subcompositional coherence. The methods will be illustrated with Penn Upper Respiratory Tract Microbiome Dataset and Penn Gut Microbiome Project - COMBO Dataset.


Sponsored by the Department of Mathematical Sciences

Nonlinear Analysis and Dynamical Systems Seminar by Ellina V. Grigorieva Friday, Jan 20
(3 p.m. - 4 p.m.)

Ellina V. Grigorieva

Department of Mathematics and Computer Sciences

Texas Woman's University, Denton

The Optimal Intervention Strategies for Epidemic Models: Switched Functions Approach

Please consult for more information

Geosciences Seminar Friday, Jan 20
(3:30 p.m. - 4:30 p.m.)

The Department of Geosciences is pleased to announce the upcoming seminar and invite you to join us on Friday, January 20, 2017 at 3:30 p.m. in ROC 2.103.  Our distinguished guest speaker will be Dr. Rachel Scudder from Texas A&M University.  The title of her presentation will be "A regional Assessment of Volcanic and Terrigenous Inputs to the Western Pacific Ocean "Subduction Factory". 

Admission is free and refreshment will be served after the seminar in ROC 2.107.  We hope you will plan to attend.

Getting in to the Brain: Potential of Nanotechnology to Manage Neuro-AIDS and Drug Addictions Wednesday, Jan 25
(1 p.m. - 1:59 p.m.)

A 2016 report suggests that more than 36.7 million people are living with HIV/AIDS in the world today that includes about 1.2 million people from US. Current studies also show that more than 247 million people are affected with substance abuse in the world that includes more than 24 million Americans. Reports also show that more than 3-4 million people are co-affected with HIV and illicit drug use. Although highly active anti-retroviral therapy (HAART) has resulted in a remarkable decline in the morbidity and mortality in AIDS patients, inadequate delivery of HIV drugs across the blood-brain barrier (BBB) to the brain results in HIV persistence. Drugs of abuse such as opiates act synergistically with HIV-1 to potentiate the HIV-related neurotoxicity that leads to the development of Neuro-AIDS. In recent years, use of nanotechnology has shown exciting prospect for development of novel drug delivery systems. We herein report the development of a Magneto-Electric Nanocarrier (MEN) to deliver and release on demand of HIV drugs and opiate antagonist which are otherwise impenetrable to the brain and inhibit HIV and reverse opiate-mediated adverse neurological effects. The proposed nanocarrier is anticipated to simultaneously reduce Neuro-AIDS and opiate addiction in HIV-1 infected opiate addicts. Further, this invented/patented new technology will have universal applicability for targeting and controlled release of drugs against a variety of other CNS diseases such as Parkinson’s, Alzheimer’s, brain tumors etc.

Presented by Madhavan Nair, PhD, Florida International University

Dr. Nair is the Distinguished Professor and Founding Chair of the Department of Immunology and is the Director of the Institute of Neuro-Immune Pharmacology at the College of Medicine where he serves as Associate Dean for biomedical research.


Mathematical Sciences Colloquium by Kuang-Yao Lee Wednesday, Jan 25
(3 p.m. - 4 p.m.)

Kuang-Yao Lee

Department of Biostatistics

Yale School of Public Health

On additive conditional independence for high-dimensional statistical analysis

With the advance of high-throughput technologies, massive and complex data are routinely collected and these data need to be processed and analyzed differently from conventional data. In this presentation I will discuss a nascent concept for analyzing big data -- additive conditional independence (ACI) -- a three-way statistical relation that shares many similarities with conditional independence. However, its nonparametric characterization does not involve multivariate kernel, which enjoys the flexibility of nonparametric estimators but avoids the curse of dimensionality in high-dimensional settings. We facilitate the implementation of ACI via a case study on nonparametric graphical models, and describe a general framework for adopting ACI to a broader scope. Additionally, to emphasize the increasing impact of ACI we also introduce several recent developments under various statistical settings. We investigate the properties of the proposed estimators through both theoretical and simulation analyses. The usefulness of our procedures is also demonstrated through an application to gene regulatory network (GRN) inference using a DREAM Challenge dataset. This is joint work with Bing Li (Penn State), Hongyu Zhao (Yale), Lexin Li (UC Berkeley) and Tianqi Liu (Yale).


Sponsored by the Department of Mathematical Sciences

Physics Colloquium: Universality in dynamics of engineered quantum systems Wednesday, Jan 25
(4 p.m. - 5 p.m.)

Dr. Michael Kolodrubetz (UC Berkeley)

We are in the midst of the so-called second quantum revolution, where quantum mechanics is increasingly being controlled to create novel engineered systems. From ultracold atoms and ions to solid-state realizations of quantum bits, these engineered systems are becoming increasingly powerful, but often at the cost of adding extra control knobs and thus complexity. In this talk I will show that, despite this complexity, universal structures nevertheless do emerge in the coherent quantum dynamics that define such systems. I will focus on two examples where the dynamics is closely related to quantum geometric and topological structure. I will first show how topological Chern numbers may be experimentally measured in simple few-level systems. I will then discuss a many-body problem where topological physics is crucial, namely the chiral anomaly of Weyl band structures in ultracold atoms. In both cases, I will show how dynamics plays a fundamental role in defining and measuring the universal structure, with important implications for future work.