IDSC Fellows 2021-2022 Launch Event Announces Chosen Fellows 12/7

IDSC Fellows

IDSC Fellows 2021-2022 Launch Event Announces Chosen Fellows 12/7

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.  Join us for the announcement of the 2021-2022 IDSC Fellows and to hear their project proposals. This event is free and open to UM Faculty/Staff/Students.

Tuesday, 12/7/2021 3:00 – 4:00PM  |  Register Now

2021-2022 IDSC Fellows

Ashley Cook, 2021-2022 IDSC Fellow

Ashley Cook

Ashley 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

  • Elizabeth Babcock, PhD  |  Professor, Department of Marine Biology and Ecology, Rosenstiel School for Marine, Atmospheric, and Earth Science
  • Gang Ren, PhD | IDSC AI + Machine Learning  | Research Assistant Professor Department of Computer Science
Julian Dallmeier, 2021-2022 IDSC Fellow

Julian Dallmeier

Julian 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

  • William K. Scott, PhD  |  Professor, and Vice-Chair for Education and Training, Dr. John T. Macdonald Foundation Department of Human Genetics |  Professor of Neurology and Public Health Sciences, UM Miller School of Medicine  |  Faculty Member, John P. Hussman Institute for Human Genomics (HIHG)  |  Executive Director, UM Brain Endowment Bank
  • Mitsunori Ogihara, PhD  |  Professor, Department of Computer Science  |  Director, IDSC Workforce Development and Education  |  Cooper Fellow, College of Arts and Sciences  |  Site Director, NSF University of Miami CARTA
Kevin Davis

Kevin Davis

Kevin 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

  • Abhishek Prasad, PhD |  Associate Professor, Department of Biomedical Engineering, College of Engineering
  • Odelia Schwartz, PhD  |  Associate Professor, Department of Computer Science, College of Arts and Sciences  |  Director of Undergraduate Studies, Secondary Faculty in Biology  |  Principal Investigator, Brain + Machine Learning Lab
Mingyue Wu, 2021-2022 IDSC Fellow

Mingyue Wu

Mingyue 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

  • Luis Ruiz Pestana, PhD  Assistant Professor, Department of Civil, Architectural, and Environmental Engineering, College of Engineering
  • Melvin Ayala, PhD  |  IDSC Systems and Data Engineering, and IDSC Advanced Computing