Texas Women in HPC (TXWHPC) and Intel Austin are partnering to host a Women in HPC celebration prior to SC18 - the world's largest HPC conference. [maxbutton id="4" url="https://goo.gl/forms/0Rb6ouhxYnakPC623"
Texas Women in HPC (TXWHPC) and Intel Austin are partnering to host a Women in HPC celebration prior to SC18 – the world’s largest HPC conference.
TXWHPC brings together professional women in industry, academia, and government from the advanced computing community across the state. It provides a venue for knowledge-sharing, networking, support, and visibility for women by engaging in initiatives to raise awareness and broaden diversity in HPC.
The event will feature a keynote by Kelly Gaither, Director of Visualization at the Texas Advanced Computing Center (TACC), a panel of women in industry and academia, and networking opportunities. All are welcome to join us:
- Any gender
- Any career stage: early, mid, and established
- Any level in the organization: junior, managers, and leaders
- Any type of organization: corporations, research institutions, and academia
Agenda is as follows:
|9:30-9:45||Welcome from Intel|
|9:45-10:30||Keynote by Kelly Gaither
Director of Health Analytics, TACC
Associate Professor of Women’s Health, Dell Medical School
Title: Computational Health: Blending Big Data, Computation, and Analytics
|11:00-12:00pm||HPC in Texas Panel featuring:
Moderator: Dounia Khaldi (Intel)
The United States (U.S.) is experiencing a health crisis resulting from decades of increasing health care expenses associated with ever smaller improvements in health outcomes, and the development of an efficient, modern health-care system has become an increasingly critical concern. Today, the U.S. spends five times more per capita on health care than countries with similar life expectancies and expenditures have been steadily rising. Given that most healthcare expenditures are due to the costs of diagnostic tests and therapeutic interventions, it is becoming increasingly clear that the rising number of tests and interventions do not improve health unilaterally. The need for individualization is strikingly demonstrated by the fact that 5% of the population accounts for 51% of total healthcare expenditures.
Women’s health represents one of the most pressing health-policy issues nationally. In no medical speciality are the deficiencies of medical evidence more pronounced than in women’s health, especially in obstetrics. Over the course of the human lifespan, birth is one of the most dangerous health episodes for both mother and baby. Perinatal mortality (stillbirth, maternal death, and neonatal death) is one of the leading causes of death worldwide. The U.S. ranks 17th in stillbirth, 45th in neonatal death, and 140th in preterm birth out of ~200 countries worldwide. Recent rising rates of maternal mortality are alarming and serve to single out the U.S. negatively among developed countries. Worldwide, between 2.6 and 4 million pregnancies result in stillbirth annually. If stillbirths were included among the causes of human mortality, they would rank as the third leading cause of death following ischemic heart disease and stroke. Although birth-related deaths are largely preventable, most adverse pregnancy outcomes are not predictable and cannot be prevented.
The health of a population and effectiveness of the health-care system are driven primarily by the most severe adverse outcomes, mortality and severe morbidity. There has never been a better time to bring modern computation and analytics to inform individualized treatments and interventions for our most vulnerable populations. Current approaches to studying these adverse outcomes rely on averages across a population and do not consider retrospective information across patients with similar profiles. In this talk, I will discuss our multi-disciplinary team and our current methods blending computation, big data and visual analytics to individualize obstetric and perinatal healthcare.
The celebration will take place at the Intel Austin site on Friday, November 9th from 8:30 AM – 12:00 PM. Intel Austin is located at 1300 S MoPac Expy, Austin TX 78746. Follow the signs to the visitor parking lot. Enter from the frontage road (not by going into the campus at the traffic light). If you go into the campus at the traffic light, you will need to leave campus and go back around the frontage roads to get back to the visitor parking. The parking garage is only for overflow visitor parking. Park as far into the lot as possible.
Do not enter through the main entrance up the steps, but instead follow the sidewalk on the south side of the parking lot to the double glass door. There will be a special check-in desk set up in that lobby to make things easier for our meeting. If you end up in the wrong place, ask for Dounia Khaldi.
(Friday) 8:30 am - 12:00 pm CT
1300 S MoPac Expy