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. So, without further ado let’s get into my conversation with Kunal Marwaha. 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

Curious to learn more? Check out these additional links:

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