TAMIDS, TEES and HRPC are sponsoring an informal online workshop on Scientific Machine Learning, a rapidly developing area that aims to revolutionize the practice of Science and Engineering by bringing together the fields of Machine Learning and Scientific Computation.
TAMIDS Seminar Series: Justin Romberg: Distributed Stochastic Approximation and Multi-Agent Reinforcement Learning
Dr. Justin Romberg, Schlumberger Professor in the School of Electrical & Computer Engineering and Associate Director for the Center for Machine Learning at the Georgia Institute of Technology, will give an online seminar on “Distributed Stochastic Approximation and Multi-Agent Reinforcement Learning” on Friday October 30, 2020 from 1-2pm CT
The Texas A&M Institute of Data Science (TAMIDS: https://tamids.tamu.edu) and the NSF-funded Research Institute on the Foundations of Interdisciplinary Data Science at Texas A&M University (FIDS: http://FIDS.tamu.edu) are seeking to recruit a postdoctoral research associate to work in the area of machine learning, statistical and computational methods for the modeling and analysis of high-dimensional and graph-based data. Candidates should possess a Ph.D. in Data Science, Electrical Engineering, Computer Science, Statistics, Mathematics, or a related area.
Vinit Sehgal, a Ph.D. student at the Water Management and Hydrological Science Program at Texas A&M University, will give an online talk on “Large-scale Geospatial Analysis with R” on Tuesday, November 10, 1-2pm
TAMIDS announces its program for the Fall 2020 online Data Science seminar and tutorial series, running from Sept 4 until November 20, 2020
TAMIDS and the Texas A&M Center for Geospatial Science, Applications, and Technology (GEOSAT) have established the Operational Data Science Lab to develop partnerships with operational organizations in Texas A&M that capitalize on institutional data investments and transform Texas A&M into a living laboratory for Data Science.
The Bring-Your-Own-Data (BYOD) workshops are one-on-one consultancy sessions with a TAMIDS Data Scientist who can help with formulating approaches to your Data Science research project, and assist with code development to take advantage of the latest data analytics methods and high-performance computing facilities. the workshops take place weekly on Wednesday mornings during Fall 2020.
Dr. Nick Duffield, TAMIDS Director, welcomes three new postdoctoral researchers for Fall 2020. Dr. Yalong Pi will join the Operational Data Science Lab. Dr. Jisu Cao (Mays Business School) and Dr. Liang Ding (Industrial and Systems Engineering) are partially supported by TAMIDS and will contribute to TAMIDS research, education and enablement programs.
Six teams of Texas A&M University students shared $6,000 in prizes during a data science competition hosted by the Texas A&M Institute of Data Science. The competition required students to analyze airline data provided by the U.S. Bureau of Transportation Statistics to develop measures and models to forecast the expected performance of airlines.
Dr. Nick Duffield, Director of the Texas A&M Institute of Data Science (TAMIDS), is excited to announce the inaugural awardees of the TAMIDS Data Resource Development Program. The program supports work that will enable, promote and increase the usage of data resources and tools that can exploit them for research at Texas A&M.
TAMIDS has developed “building blocks” for Data Science education, training, consultancy and project development that can support proposals for extramural funding.
The Texas A&M Institute of Data Science (TAMIDS) has established its Data Science Traineeship Program to help faculty and researchers develop Data Science projects, draw on the skills and interests of our students to work with them, and provide Data Science consultancy and mentorship during the projects
TAMIDS Research Affiliates are Texas A&M’s Data Science experts, with over 200 members drawn from 32 Texas A&M Colleges, Agencies and other major organizational units. The TAMIDS Research Affiliates Program is open to all Texas A&M faculty (including tenure, professional, instructional and research tracks), other researchers (including research scientists and postdoctoral researchers), and operations and administration staff and professionals, whose role and interests include Data Science.
The Texas A&M Institute of Data Science (TAMIDS) solicits proposals for one-day workshops in any area of Data Science. The aim of the TAMIDS Workshop Grants Program is to support community building, stimulate collaboration, and foster interdisciplinary growth in Data Science amongst researchers at Texas A&M.