Newsletter
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Using data science to improve student-athlete athletic performance while reducing sport associated risk of injury
This semester the Vanderbilt Data Science Institute was given the opportunity to work alongside Women’s Basketball Strength and Conditioning to help them achieve their goal of improving student-athlete athletic performance while reducing sport associated risk of injury. By creating a holistic picture of the athlete’s response to training as… Read MoreNov. 3, 2022
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Deep Learning in Archaeology: Understanding the Composition of Ancient Mortars
Mortar sample taken at Caesarea’s Cruzader cathedral: (upper left) Eastern façade of the Cathedral; (lower left) mortar sample location marked with a flag; (lower right) close-up photo of the mortar sample location before taking the sample. Mortar is an essential part of construction, and has been used by builders for… Read MoreOct. 27, 2022
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Master students from DSI enable the construction of integrated database for enzyme design
Enzymes are the “magical powders” that have been invented by nature to accelerate chemical reactions from eons ago. They are extremely good but are mostly limited to the biochemical reactions they are created for. As an enzyme designer, Prof. John Yang, a DSI affiliate from the Department of Chemistry… Read MoreOct. 27, 2022
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Language and Educational Analytics Research (LEAR) Lab Looking to Hire DS MS Students
The Language and Educational Analytics Research (LEAR) Lab is looking to hire DS MS students to provide support for Vanderbilt’s Learning Engineering Virtual Institute Community Hub. The hub focuses on helping engineering teams from around the world developing cutting edge technologies to increase math learning in K-12 educational settings. The… Read MoreOct. 24, 2022
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AI Deep Dive Nov 4: Using Large Language AI Models to Support Language Instruction
Multilingual large language models have demonstrated strong performance in natural language processing tasks. In this discussion, we explore how these transformer-based models might be used to support language instruction. In the current case study, we’ll examine possible uses of these models to support instruction in Hindi. Might these models be… Read MoreOct. 20, 2022
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AI Deep Dive Nov 4: Using Large Language AI Models to Support Language Instruction
Multilingual large language models have demonstrated strong performance in natural language processing tasks. In this discussion, we explore how these transformer-based models might be used to support language instruction. In the current case study, we’ll examine possible uses of these models to support instruction in Hindi. Might these models be… Read MoreOct. 20, 2022
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VICB Seminar October 26th: Machine Learning Strategies in Chemical Biology
Dr. Allison Walker, Assistant Professor of Chemistry and Biological Sciences Interested in learning how machine learning strategies are being applied applied to facilitate engineering and discovery of natural products for development of therapeutics? Join the Vanderbilt Institute of Chemical Biology (VICB) on Wednesday, October 26th from 12:15 pm –… Read MoreOct. 6, 2022
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AI Deep Dive: Training a Transformer Model on EEGs
Friday, September 30 at 1:00pm the Data Science Institute will host Prof. Sasha Key in a discussion of applying transformer deep learning models to the problem of analyzing multichannel EEG in response to multiple stimulus/recording conditions (e.g., faces vs. objects, speech vs. nonspeech, attend vs. ignore, etc.). Transformers are powerful… Read MoreSep. 29, 2022
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New DSI Postdoctoral Fellow, Abbie Petulante
We’re pleased to be able to introduce Abigail (Abbie) Petulante as a new DSI Postdoctoral Fellow! Abbie received her PhD in Astronomy this year at Vanderbilt where she applied a wide variety of machine learning and deep learning techniques to model the development of large structures comprised of dark matter… Read MoreSep. 20, 2022
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New DSI Postdoctoral Fellow, Joshua Su
We’re pleased to be able to introduce Zhaoqian (Joshua) Su as a new DSI Postdoctoral Fellow! Joshua comes to us from the Einstein College of Medicine where as a Postdoctoral Fellow he applied deep learning to problems related to the formation protein structures such as peptide… Read MoreSep. 20, 2022