TAMIDS Announces Inaugural Awardees of the 2019 Postdoctoral Project Program
Nick Duffield, Director of the Texas A&M Institute of Data Science (TAMIDS), is excited to announce the inaugural awardees of the TAMIDS Postdoctoral Project Program. TAMIDS was created in late 2017 with a mission to promote research, education and outreach in Data Science across the Texas A&M University System. One of the priorities identified for TAMIDS for 2019 was to rapidly increase the number of junior Data Science researchers at Texas A&M University. The TAMIDS Postdoctoral Project Program is one measure designed to fulfill this goal.
The program solicited proposals from Texas A&M PIs (either singly, or in teams with one or more Co-PIs) concerning projects to employ a postdoctoral researcher. Projects could involve any foundational, applied, or interdisciplinary area of Data Science. Proposals for projects that enabled new research areas and/or involved new interdisciplinary collaborations were encouraged.
Awards were determined by a committee of experts convened by TAMIDS. This was no easy task, as the quality of all of the submissions was extraordinarily high. The 2019 Awardees are from many different disciplines across campus, with PIs and Co-PI drawn from the Colleges of Agriculture and Life Sciences, Architecture, Engineering, Liberal Arts, Science, and the School of Public Health.
- Youngjib Ham (PI), Department of Construction Science, Theodora Chaspari (Co-PI), Computer Science & Engineering, Boosting Workplace Productivity; Data-driven Framework for Enhancing Occupant Environmental Comfort.
- Matthias Katzfuss (PI), Department of Statistics, Sparse Approximation of Dense Kernel Matrices for Scalable Data Science.
- Hye-Chung Kum (PI), Health Policy & Management, School of Public Health, Mark Fossett (Co-PI), Department of Sociology, Alva Ferdinand (Co-PI), Health Policy & Management, School of Public Health, Population Informatics: Data Science using Big Data about People in Social, Behavior, Economic,and Health Sciences.
- Yang Ni (PI), Department of Statistics, Irina Gaynanova (Co-PI), Department of Statistics, Robert Chapkin (Co-PI), Department of Nutrition & Food Science, Raymond Carroll (Co-PI), Department of Statistics, Studying Microbial Interactions and Host Heterogeneity via Data Integration.
- Shahin Shahrampour (PI), Industrial & Systems Engineering, Shallow Networks in Over-Parametrized Regimes: Rethinking Bias-Variance Tradeoff.
- Xiaoning Qian (PI), Electrical and Computer Engineering, Raymundo Arroyave (Co-PI), Materials Science & Engineering, Physics-Constrained Machine Learning for Intelligence Augmented Materials Discovery.
TAMIDS is looking forward to contributing to the success of these projects and the interdisciplinary impact of Data Science at Texas A&M University. TAMIDS Director Nick Duffield will work with the supported investigators to strengthen Data Science community in Texas A&M through these projects.