এই এপিসোড সম্বন্ধে
In this episode, we explore how data science is helping researchers simulate and understand some of the most extreme physical events on Earth, from floods in Texas to hypersonic flight. Our guests are Stephen Baek, a leading expert in geometric deep learning and associate professor of data science at the University of Virginia, and Jack Beerman, a Ph.D. student whose work is already shaping real-world applications.
Together, they discuss how AI is transforming fields like weather forecasting, materials design, sports performance, and military innovation—and why graduate researchers like Jack are essential to moving this work forward.
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অতীতের এপিসোডগুলি অনুসন্ধান করুন
UVA Data Points এর অতীতের এপিসোডগুলি অনুসন্ধান করুন।
এই পডকাস্টের অন্যান্য পর্বগুলি৷
In this episode, we’re diving into a fascinating intersection of cutting-edge science and data innovation. As technology continues to evolve, researchers are increasingly turning to brain organoids, (miniature, lab-grown models of the human brain) to unravel some of the most complex mysteries of ne…
Explore how entrepreneurship and innovation can intersect with public service to drive meaningful impact. Join Dean Philip Bourne and the UVA School of Data Science community for an inspiring conversation with Arun Gupta, CEO of the NobleReach Foundation and author of Venture Meets Mission.
Drawi…
Here we dive into one of the most timely and important topics in tech: Trustworthy AI. What does it really mean for artificial intelligence to be “trustworthy”? And why should it matter to you?
To help us unpack these questions, we’re joined by Farhana Faruqe, a data scientist, researcher, and ent…
In this episode, we welcome you to the 2025 Women in Data Science Charlottesville event hosted at the University of Virginia School of Data Science. WiDS Charlottesville seeks to increase the participation of women in data science and feature outstanding women doing outstanding work.
Leading the …
দাবি পরিত্যাগ: এই পৃষ্ঠায় এম্বেড করা পডকাস্ট এবং আর্টওয়ার্ক UVA School of Data Science থেকে এসেছে, যা এর মালিকের সম্পত্তি এবং Listen Notes, Inc দ্বারা অনুমোদিত বা অনুমোদিত নয়৷
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