2023 Graduate Assistantship Awardees

We are thrilled to announce the recipients of the 2023 Graduate Assistantship Awards, showcasing the innovative research supported by the Data Science Initiative. 

Please join us in celebrating the achievements of the following individuals, whose remarkable contributions extend across various colleges and programs:

Claire Menard 

Response of Crop Genomes to Environmental Stress

   - School/Department: CFANS (College of Food, Agricultural and Natural Resource Sciences)

   - Program: Agronomy and Plant Genetics, Plant and Microbial Biology

Evan Dastin-Van Rijn

Blackbox Optimization of Cognitive Control with Neuromodulation 

   - School/Department: CSE (College of Science and Engineering)

   - Program: Biomedical Engineering

Drew Swartz

Effectiveness and Producers Perceptions of Camera-based Technology detecting early stages of lameness in dairy cows

   - School/Department: College of Veterinary Medicine

   - Program: Veterinary Population Medicine, Veterinary Medicine

Kate Dembny

Functional Connectivity as a Biomarker for Working Memory Dysfunction in Parkinson's Disease

   - School/Department: CSE (College of Science and Engineering)

   - Program: Biomedical Engineering

Jack Wolf

Innovative Statistical Methods for Personalized Treatment Decisions in Cancer Clinical Trials

   - School/Department: School of Public Health, Division of Biostatistics

   - Program: Biostatistics

Leikun Yin

Sustainable Cashew Plantation Expansion in West Africa: Balancing Industry Growth, Poverty Reduction, and Conservation using Deep Learning and Geospatial Data

   - School/Department: CFANS (College of Food, Agricultural and Natural Resource Sciences)

   - Program: Bioproducts and Biosystems Engineering, Bioproducts and Biosystems Science, Engineering and Management

Chris Wojan

Can biodiversity reduce Lyme disease prevalence? A data-driven approach

   - School/Department: College of Biological Sciences

   - Program: Ecology, Evolution, and Behavior

Mathew Fischbach

Enhancing Parkinson’s Disease risk prediction with genetic interaction-based machine learning models

   - School/Department: CSE (College of Science and Engineering)

   - Program: Computer Science and Engineering, Bioinformatics and Computational Biology

Jiacheng Liu

Identify potentially avoidable blood draws via estimating coagulation measurements for pediatric patients treated by heparin infusion

   - School/Department: CSE (College of Science and Engineering)

   - Program: Computer Science and Engineering

Jingxuan Deng

Optimizing Mineral Carbon Storage through High-performance Computing and Machine Learning

    - School/Department: CSE (College of Science and Engineering)

    - Program: Department of Earth and Environmental Sciences, Earth Sciences

Xiangyu Zhang

Searching for new signals under high background: a novel inferential framework

    - School/Department: CLA (College of Liberal Arts)

    - Program: School of Statistics

Cooper Gray

Novel Insights into CSF Flow Alterations to Inform Future Treatment of Neurodegenerative Diseases

    - School/Department: CSE (College of Science and Engineering)

    - Program: Mechanical Engineering

Seiya Wakahara

Precision Nitrogen and Irrigation Management of Potatoes based on Multi-source Data Fusion using Machine Learning and Crop Growth Modeling

    - School/Department: CFANS (College of Food, Agricultural and Natural Resource Sciences)

    - Program: Soil, Water, and Climate, Land and Atmospheric Science

Haoyu Yang

Personalized Disease Progression Modeling Using Privileged Information

    - School/Department: CSE (College of Science and Engineering)

    - Program: Computer Science and Engineering

   

The total amount awarded for this round is an impressive $678,864.83. Congratulations to all the awardees! The next round of applications will be in Oct. 2024.

Sincerely,

The Data Science Initiative

Awardee by department
Awardees by college