DSI-Supported Research
AI Deep Dive: Harnessing Technology for Improved Speech Health
Nov. 2, 2023—On October 27th, we had the privilege of hosting an AI Deep Dive Session with Dr. Matthew Pontell, where we discussed the use of generative AI for enhancing speech therapy and improving speech dysfunction. This session brought to light the innovative strategies and recovery techniques that promise better speech health outcomes for those suffering from...
What is “Human Nature” in the eyes of the US courts.
Oct. 16, 2023—On October 6th, we had the privilege of hosting an AI Deep Dive Session with Professor Owen Jones, where conversations were had around the quest to answer the question: ‘What is “human nature” in the eyes of US Courts?’ This session spotlighted the capabilities of AI in navigating and analyzing extensive legal data, especially court...
Senior Data Scientist, Myranda Shirk, Leads Mentees to Create Chatbot-like Interface
Sep. 10, 2023—DSI Senior Data Scientist, Myranda Shirk, is a mentor for the ECMWF (European Centre for Medium Range Weather Forecasting) Code for Earth program. Her mentees this summer created a chatbot-like interface to search their data, based on some of Myranda’s previous work at NOAA. ECMWF has now put this interface on their website! It is accessible at: https://chat.ecmwf.int/....
Wernke and Huo awarded NEH grant to conduct the largest archaeological imagery survey in the Western Hemisphere using AI
Sep. 8, 2023—Vanderbilt University’s research team, led by Steven Wernke, Yuankai Huo, and Parker VanValkenburgh, from Brown University, have been awarded a significant National Endowment for the Humanities grant to develop GeoPACHA 2.0, a next-generation archaeological mapping technology. This innovative project aims to unveil intricate details about vast settlement systems in the Andes using cutting-edge data science and AI-assisted survey techniques. The...
Machine Learning–Based Identification of Lithic Microdebitage
Sep. 1, 2023—Dr. Markus Eberl, Associate Professor Archaeology at Vanderbilt University, speaks about his team’s use of a particle scanner to analyze micro-debitage. They used machine learning to analyze the data set and tried to learn more about early life than we could otherwise. Markus Eberl worked with the DSI team in 2022 on the Ancient Mortars project.
A Comparative Study on the Application of Machine Learning to Dynamic Rebalancing (DSI-SRP)
Aug. 21, 2023—This DSI-SRP fellowship funded Ziyao Zhang to work in the laboratory of Dr. Mike Neamtu, Ph.D. in the Department of Mathematics during the summer of 2023. Ziyao is a rising junior with majors in Computer Science and Mathematics and a minor in Economics. In this DSI research, Ziyao and his mentor studied the financial market...
Active Learning Strategies for Efficient Growth of BGC Database (DSI-SRP)
Aug. 21, 2023—This DSI-SRP fellowship funded Chaehyun “Amy” Song to work in the laboratory of Dr. Allison Walker, Ph.D. in the Department of Pathology, Microbiology and Immunology during the summer of 2023. Amy is a rising junior with a major in Biochemistry and Chemical Biology and a minor in Computer Science. In this project, Amy and her...
Exploring Racial and Gender Differences in Opioid Use Disorder and Designing NLP-based Diagnosis Tools (DSI-SRP)
Aug. 21, 2023—This DSI-SRP fellowship funded Chen Jin to work in the laboratory of Dr. Alvin D. Jeffery, Ph.D. in the School of Nursing during the summer of 2023. Chen is a rising senior with majors in Economics and Medicine Health and Society (MHS), and a minor in Data Science. Opioid Use Disorder (OUD) has become an...
Expanding the CMR Model – A Computational Investigation of Reading Comprehension (DSI-SRP)
Aug. 21, 2023—This DSI-SRP fellowship funded Elijah Williams to work in the laboratory of Dr. Katherine S. Aboud, Ph.D. in the Vanderbilt Brain Institute during the summer of 2023. Elijah is a rising junior with a major in Mathematics and a minor in Data Science. In this summer research project, Elijah and his mentor investigated patterns in the...
Evaluating and Applying Machine-Learning Models in Predicting Gene Regulation and Expression in Neuropsychiatric Disorders (DSI-SRP)
Aug. 21, 2023—This DSI-SRP fellowship funded Namju Kim to work in the laboratory of Dr. Eric Gamazon, Ph.D. in the Department of Medicine during the summer of 2023. Namju is a rising junior with a major in Molecular and Cellular Biology and a minor in Data Science. Neuropsychiatric diseases are partially caused by genetic factors, including non-coding...