8th Annual Cohort 2021-2022 IDSC Fellows Announced
The Institute for Data Science and Computing (IDSC) is pleased to announce the IDSC Fellows for the 2021-2022 academic year. The vision of the IDSC Fellows Program is to inspire a new generation of leaders in data science to cross the traditional boundaries between disciplines.
IDSC joins with University faculty to mentor IDSC Fellows on how to best utilize University’s cutting-edge advanced computing resources in their proposed research projects.
This is a prestigious designation awarded each year to four graduate or undergraduate students (sophomore level or above) students.
2021-2022 IDSC Fellows
Ashley CookAshley is a second-year Marine Biology and Ecology PhD student at the Rosenstiel School for Marine, Atmospheric, and Earth Science at UM studying cetacean acoustics. She works under Dr. Elizabeth Babcock and Dr. Melissa Soldevilla and is using passive acoustic monitoring to investigate spatiotemporal trends in Rice’s whale calls and to estimate Rice’s whale density in their primary habitat in the northeast Gulf of Mexico. As an IDSC Fellow, she will be utilizing machine learning techniques to develop a call detector for Rice’s whales that can be applied to long-term acoustic datasets. MENTORS
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Julian DallmeierJulian is a third-year Neuroscience PhD candidate under the supervision of Dr. William Scott. He is currently researching clearance mechanisms of Alzheimer’s-disease-associated pathology at the Brain Endowment Bank. As an IDSC Fellow, he aims to apply feature extraction and clustering algorithms to neuropathological datasets to potentially unveil novel pathology distribution patterns. MENTORS
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Kevin DavisKevin Davis is a second-year graduate student in the medical scientist training program (MD/PhD) in the Department of Biomedical Engineering. His research centers around neuromodulation and rehabilitation for movement disorders such as spinal cord injury and paralysis. As an IDSC Fellow, he hopes to use feature extraction and a series of classification and regression algorithms to improve the functionality of a fully-implanted Brain-Computer Interface in a patient with chronic cervical spinal cord injury for use in their home. MENTORS
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Mingyue WuMingyue is currently a first-year PhD student in the Civil, Architectural & Environmental Engineering Department following Dr. Luis Ruiz Pestana. Her doctoral research focuses on predicting the aging behavior of colloidal glasses based on molecular dynamics (MD) simulations and machine learning (ML) techniques. As an IDSC Fellow, she hopes to train deep-learning networks using data from MD simulations to identify the complex patterns of behavior underlying glass relaxation. MENTORS
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