Astrostatistics

We develop and use advanced statistical and machine learning methods to unlock the mysteries of the universe. Through the application of cutting-edge statistical techniques and models to complex astronomical data, we strive to provide new insights and understanding of cosmic phenomena. 

Our goal is to accelerate to the advancement of astronomy and astrophysics by developing innovative statistical tools and collaborating with researchers across different fields. By combining expertise in statistics and astronomy, we seek to push the boundaries of knowledge and make significant contributions to our understanding of the cosmos. and fundamental physics.

Projects

Detection of anti-correlation of hot and cold baryons in galaxy clusters

Detection of anti-correlation of hot and cold baryons in galaxy clusters

A Machine Learning Approach to Enhancing eROSITA Observations

A Machine Learning Approach to Enhancing eROSITA Observations

Percent-Level Test of Isotropic Expansion Using Type Ia Supernovae

Percent-Level Test of Isotropic Expansion Using Type Ia Supernovae

PoPE: A population-based approach to model spatial structure of astronomical systems

PoPE: A population-based approach to model spatial structure of astronomical systems

Approximate Bayesian Uncertainties on Deep Learning Dynamical Mass Estimates of Galaxy Clusters

Approximate Bayesian Uncertainties on Deep Learning Dynamical Mass Estimates of Galaxy Clusters

Gaia DR2 unravels incompleteness of nearby cluster population: New open clusters in the direction of Perseus

Gaia DR2 unravels incompleteness of nearby cluster population: New open clusters in the direction of Perseus

Trustworthy AI for Societal Changes

Our mission is to advance fairness, transparency, and trust in AI systems. We achieve this by developing and evaluating algorithms to ensure their impartiality and reliability. Our aim is to combat algorithmic bias and discrimination in critical areas, including climate, housing, healthcare, and urban planning. 

Through collaboration with diverse stakeholders, including city government, non-profits, and private sector, we advocate for the ethical use of AI systems and the development of transparent and equitable algorithms. Our commitment to advancing research in algorithmic fairness and trustworthiness drives us to make a positive impact on society.

Projects

A Social Justice Framework for Urban Communities

A Social Justice Framework for Urban Communities

Modeling and Quantifying Group Disparities

Modeling and Quantifying Group Disparities

A Case Study of Homeownership Racial Disparity

ActiveRemediation: The Search for Lead Pipes in Flint, Michigan

ActiveRemediation: The Search for Lead Pipes in Flint, Michigan

KiTE - An auditing tool for trustworthiness hypothesis testing and quantification

KiTE - An auditing tool for trustworthiness hypothesis testing and quantification

TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients

TAME Pain: Trustworthy AssessMEnt of Pain from Speech and Audio for the Empowerment of Patients

Auditing AI Systems

Our team is at the forefront of ensuring AI safety and integrity, specializing in the development and deployment of advanced auditing systems. We work closely with third parties, providing expert consultation to guide the implementation of these systems effectively. Our focus is on rigorously evaluating AI technologies for performance, fairness, and trustworthiness, ensuring they meet strict criteria for safety and ethical standards. By assisting in the deployment of comprehensive auditing measures, we help maintain the reliability of AI systems, ensuring they operate not only efficiently but also in a manner that is equitable and safe for all users.

This multifaceted approach involves rigorous testing, analysis, and refinement to identify and mitigate biases, enhance transparency, and improve the overall reliability and ethical standards of AI technologies. Through our work, we are committed to fostering an AI ecosystem that is both powerful and responsible.

We collaborate with

Dark Energy Survey

An international, collaborative effort to map hundreds of millions of galaxies, detect thousands of supernovae, and find patterns of cosmic structure that will reveal the nature of the mysterious dark energy that is accelerating the expansion of our Universe.

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Good Systems

A grand challenge at the University of Texas at Ausitn that builds AI-based technologies helping us solve complex problems in nearly every discipline and industry. 



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Rubin Observatory

Rubin Observatory is an observatiory that conducts a ten-year survey of the Southern Hemisphere sky with the goal of answering some of scientists' biggest questions about the Universe.


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Baryon Pasters

Baryon Pasting represents a breakthrough in cosmological simulation technology, leveraging AI to expedite the discovery process of cosmological surveys.



TBD

TAME Pain

TAME Pain is dedicated to the study of pain biomarkers, specifically those detectable in vocal cues, and strives to empower physicians and patients alike in the management of pain through the development of a reliable and automated AI technology.

TBD

COIN

The Cosmostatistics Initiative (COIN) is a worldwide endeavor aimed to create an interdisciplinary community around data-driven problems in Astronomy. It is designed to promote innovation in all aspects of academic scientific research.

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Our other collaborators include: Urban Information Lab at UT-Austin, Hobby-Eberly Telescope Dark Energy Experiment (HETDEX),
XMM-XXL Consortium, City of Austin, MITRE, and the World Economic Forum. 

We are funded by

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