Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. In this season of Carry the Two we are going to be examining how math and stats is helping scientists, engineers, and industry develop new and emerging technologies. Our first episode is all about Computation Medicine. Hosts Sam Hansen and Sadie Witkowski are joined by Danny Perez, a staff scientist at Los Alamos National Lab in New Mexico, Logan Ward, a PhD computational scientist, and Jason Hattrick-Simpers, a professor of material science and engineering at the University of Toronto and a research scientist at Natural Resources Canada, CMAT Materials.

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Diverse data generation for machine learning potentials

The Importance of Publishing Everything, and How MDF Can Help

Understanding and Mitigating Bias in Autonomous Materials Characterization and Discovery

Follow more of IMSI’s work: www.IMSI.institute, (bluesky) IMSI.institute (instagram) IMSI.institute

Music by Blue Dot Sessions

The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348

Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. In this season of Carry the Two we are going to be examining how math and stats is helping scientists, engineers, and industry develop new and emerging technologies. Our third episode is all about Fusion Energy. Hosts Sam Hansen and Sadie Witkowski are joined by Andrew Christlieb, Professor of mathematics and computational science and engineering at Michigan State University and director for the Center of Hierarchical and Robust Modeling for Non-Equilibrium Transport, and Cristina Rea, principal research scientist here at the Plasma Science and Fusion Center at the Massachusetts Institute of Technology and leader of the Disruption Studies Group.

Find our transcript here: Google Doc or .txt file

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Open and FAIR Fusion for Machine Learning Applications

Predicting fusion ignition at the National Ignition Facility with physics-informed deep learning

Follow more of IMSI’s work: www.IMSI.institute, (bluesky) IMSI.institute (instagram) IMSI.institute

Music by Blue Dot Sessions

The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348

Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. In this season of Carry the Two we are going to be examining how math and stats is helping scientists, engineers, and industry develop new and emerging technologies. Our first episode is all about Computation Medicine. Hosts Sam Hansen and Sadie Witkowski are joined by Yixiang Deng assistant professor at the University of Delaware in Department of Computer and Information Sciences and Fides Schwartz a radiologist at the Brigham and Women's Hospital focusing on CT, computer tomography, imaging.

Find our transcript here: Google Doc or .txt file

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Exploring the Frontiers of Computational Medicine

Photon-counting CT yields superior abdominopelvic image quality at lower radiation and iodinated contrast doses

Follow more of IMSI’s work: www.IMSI.institute, (bluesky) IMSI.institute (instagram) IMSI.institute

Music by Blue Dot Sessions

The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348

Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. In this season of Carry the Two we are going to be examining how math and stats is helping scientists, engineers, and industry develop new and emerging technologies. Our first episode is all about Quantum Computing and Information Science. Hosts Sam Hansen and Sadie Witkowski are joined by Ben Brown, researcher at IBM Quantum, and Yihui Quek, postdoc at MIT and incoming assistant professor at EPFL, Ecole Polytechnic Federal in Lausanne, for a discussion about quantum error correction and mitigation, as well as Dylan Temples, a Lederman Postdoctoral Fellow at Fermi National Accelerator Lab, who works at the intersection of dark matter direct detection and quantum information science.

Find our transcript here: Google Doc or .txt file

Curious to learn more? Check out these additional links: Mitigating errors in logical qubits Surviving as a quantum computer in a noisy world Design directions in qubit-based dark matter sensors

Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute

Music by Blue Dot Sessions

The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348

Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. While we’re in between our more in-depth seasons, we like to bring you something a little different in mini-season format. And for this mini season, we are going to highlight some of the amazing researchers who have presented at IMSI over the past year. Our sixth, and final, guest is Lars Peter Hansen. Lars is the 2013 recipient of the Nobel Memorial Prize in Economics and a Professor at the University of Chicago with appointments at the Economics Department, the Booth School of Business, as well as the Statistics Department.. Lars joined us at IMSI for a workshop on Economic Impacts of Climate Change where he presented a talk titled: How should Climate Change Uncertainty Impact Social Valuation and Policy? Host Sam Hansen joined Lars for a conversation about the research in his talk and Lars’s time at IMSI.

Find our transcript here: Google Doc or .txt file

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Lars Peter Hansen

Article: How should Climate Change Uncertainty Impact Social Valuation and Policy

Follow more of IMSI’s work: www.IMSI.institute, (Bluesky) @imsi.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute

Music by Blue Dot Sessions

The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348

Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. While we’re in between our more in-depth seasons, we like to bring you something a little different in mini-season format. And for this mini season, we are going to highlight some of the amazing researchers who have presented at IMSI over the past year. Our fifth guest is Rose Yu. Rose is an associate professor in the computer science department of UC San Diego, and is also affiliated with the Halıcıoğlu Data Science Institute. Rose joined us at IMSI for a workshop on Learning Collective Variables and Coarse Grained Models where she presented a talk titled Automatic Symmetry Discovery from Data. Host Sam Hansen joined Rose for a conversation about the research in her talk and Rose’s time at IMSI.

Find our transcript here: Google Doc or .txt file

Curious to learn more? Check out these additional links:

Rose Yu

IMSI Talk: Automatic Symmetry Discovery from Data

Follow more of IMSI’s work: www.IMSI.institute, (Bluesky) @imsi.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute

Music by Blue Dot Sessions

The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348

Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. While we’re in between our more in-depth seasons, we like to bring you something a little different in mini-season format. And for this mini season, we are going to highlight some of the amazing researchers who have presented at IMSI over the past year. Our fourth guest isKunal Marwaha, a PhD student at the University of Chicago studying quantum computing. Kunal joined us at IMSI for a workshop on The Power of Near-Term Quantum Experiments where he presented a talk titled On the promise of quantum advantage for classical optimization. So, without further ado let’s get into my conversation with Kunal Marwaha. Host Sam Hansen joined Kunal for a conversation about the research in his talk and Kunal’s time at IMSI.

Find our transcript here: Google Doc or .txt file

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Kunal Marwaha

IMSI Talk: On the promise of quantum advantage for classical optimization

Follow more of IMSI’s work: www.IMSI.institute, (Bluesky) @imsi.institute, (twitter) @IMSI_institute, (instagram) IMSI.institute

Music by Blue Dot Sessions

The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348

Welcome to Carry the Two, the podcast about how math and statistics impact the world around us from the Institute for Mathematical and Statistical Innovation. While we’re in between our more in-depth seasons, we like to bring you something a little different in mini-season format. And for this mini season, we are going to highlight some of the amazing researchers who have presented at IMSI over the past year. Our third guest is Frank Wolak, a professor in the Department of Economics at Stanford University who teaches courses in energy and environmental economics and has been involved in the electricity industry and power systems for 25 years.. Frank joined us at IMSI for a workshop on The Architecture of Green Energy Systems: The Underlying Problem and Its Challenges where he presented a talk titled The Engineering Economics of Low Carbon Electricity Market Design. Host Sam Hansen joined Frank for a talk about the research in his talk and Frank’s time at IMSI.

Find our transcript here: Google Doc or .txt file

Curious to learn more? Check out these additional links:

Frank Wolak

IMSI Talk: The Engineering Economics of Low Carbon Electricity Market Design

Energy Market Game

Follow more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute

Music by Blue Dot Sessions

The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348