TAMIDS SciML Lab Seminar Series: Paris Perdikaris: Bridging Physical Models and Observational Data with Physics-Informed Deep Learning
Dr. Paris Perdikaris, Assistant Professor in the Department of Mechanical Engineering and Applied Mechanics at the University of Pennsylvania, will present an online talk in the TAMIDS Scientific Machine Learning (SciML) Lab Seminar Series: “Bridging Physical Models and Observational Data with Physics-Informed Deep Learning” on Wednesday March 10th, 2021, 1-2pm CST.
Dr. Fei Wang, an Associate Professor of Health Informatics at Weill Cornell Medicine, will present an online seminar “Predictive Modeling with Longitudinal Patient Clinical Records” on Friday March 5th, 2021, 1-2pm CST. Dr. Wang has published more than 250 papers on top venues in AI, clinical medicine, and health informatics. His papers have received around 15,000 citations and his H-index is 60. His papers have won 7 best paper awards on international conferences including SDM, ICDM and AMIA. He has received numerous awards including NSF CAREER award, IEEE International Conference on Healthcare Informatics (ICHI) leadership award, as well as the awards from industries including Google faculty research award, Amazon machine learning for research award (twice) and Sanofi iDEA award.
In the 2021 Data Science Competition, student teams will develop models to predict the impact on electoral outcomes of contributions and spending by campaigns and donors, and use these to develop recommendations for where funds should be directed. Students will be encouraged to identify metrics for effectiveness of donations and campaign spending. What characterizes the most effective donation or spending? Where should it be directed? Is this effectiveness getting more or less pronounced over time? What other factors and data may need to be brought into the analysis?
The TAMIDS Scientific Machine Learning (SciML) Lab is part of a new initiative to develop knowledge, resources, and community around thematic areas of Data Science / Artificial Intelligence / Machine Learning, encompassing research, education, and outreach. TAMIDS is seeking to recruit a postdoctoral research associate to join the SciML Lab multidisciplinary team, currently comprising six faculty drawn from the Colleges of Science and Engineering, researchers from TAMIDS and Texas A&M High Performance Research Computing, and associated graduate students.
Dr. Vasileios Maroulas, a Professor of Mathematics and an appointee at Bredesen Center’s Data Science Engineering at University of Tennessee, Knoxville, will present an online seminar “Statistics, Topology and Data Analysis ” on Friday February 26th, 2021, 1-2pm CST. Dr. Maroulas is a Senior Research Fellow at the US Army Research Lab, an Elected Member of the International Statistical Institute, and an Editor-in-Chief of Foundations of Data Science published by AIMS. His work has been funded by several federal agencies, including AFOSR, ARO, DOE, and NSF; by national labs and private foundations, including ARL, ORNL, the Simons Foundation, and the Leverhulme Trust in the UK; as well as by industry, including Eastman, and Thor Industries.
Christi Retzer joined TAMIDS as Program Coordinator II on February 1, 2021. Christi will coordinate TAMIDS Educational Programs, including the new MS in Data Science program which will welcome its first cohort of students in Fall 2021. Christi has been working in higher education for the past twelve years. Welcome Christi!
Jennifer South has been promoted to Senior Administrative Coordinator II. Jennifer has worked at TAMIDS since December 2018, where she coordinates TAMIDS many programs and events, administers its operations, and is the liaison with our organizational partners throughout Texas A&M. Congratulations Jennifer!
The deadline for submission of Letters of Intent is extended to Friday, February 26, 2021, 12pm (noon).
The Texas A&M Institute of Data Science (TAMIDS) solicits proposals to establish Labs operating under the auspices of TAMIDS in emerging areas of Data Science. The mission of each Lab will be to develop knowledge, resources, and community around a thematic area of Data Science, encompassing research, education, and outreach. TAMIDS will support each Lab through a combination of seed funding for new research, effort from TAMIDS personnel, preferred access to existing TAMIDS programs, and organizational and logistical support.
Dr. Christos Papadimitriou, the Donovan Family Professor of Computer Science at Columbia University, will present the TAMIDS & TRIPODS Distinguished Seminar: “Language, Brain, and Computation” on Friday February 19th, 2021, 1-2pm CST. Dr. Papadimitriou has taught at UC Berkeley for 22 years, preceded by time at Harvard, MIT, NTU Athens, Stanford, and UCSD. He is a member of the National Academy of Sciences of the US, the American Academy of Arts and Sciences, and the National Academy of Engineering, and he has received the Knuth prize, the Gödel prize, the von Neumann medal, as well as the 2018 Harvey Prize from the Technion.
The Master of Science in Data Science degree is an on-campus interdisciplinary program offered by the Departments of Computer Science and Engineering, Electrical and Computer Engineering, Mathematics, and Statistics within the University’s Colleges of Engineering and Science, and administered jointly with the Texas A&M Institute of Data Science.
TAMIDS invites nominations of early career faculty for the Texas A&M Institute of Data Science Career Initiation Fellow program. Each Fellow will receive a one-time $10,000 award in the form of a bursary to be transferred to a research account of the Fellow recipient. While the funds are unrestricted in use, candidate Fellows must propose engagements with TAMIDS activities, programs or broader mission that are expected to be undertaken within one year following the award. TAMIDS plans to award six fellowships in 2021.
The Data Science Coffee Connections program aims to facilitate cross-departmental interaction among researchers and university personnel with an interest in Data Science. Through this program, TAMIDS provides a platform that each month randomly pairs participants, who can then arrange a 30-min meeting to exchange ideas. While we expect people connecting through Data Science Coffee Connections will be drawn by a shared interest in Data Science, it’s entirely up to you where you take the conversation.
TAMIDS announces its program for the Spring 2021 online Data Science seminar and tutorial series, running from January 22 until April 23, 2021
Scientific Machine Learning (SciML) is 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. Texas A&M University, with its large research enterprise in engineering, science, and high-performance computing, is uniquely positioned to emerge as one of the national leaders in this area. The SciML Lab has been commissioned as a pilot Lab under TAMIDS Thematic Data Science Labs program to help to make this a reality. The Lab will complement its new research thrusts with community building through workshops, seminar series, and educational resources through tutorials, short courses, and for-credit courses aimed at a multidisciplinary audience to cut across organizations at Texas A&M.
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
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 are available on multiple dates from January 18, 2021.
TAMIDS seeks to hire an Assistant Research Scientist who will develop research programs for innovative education and training in Data Science, and collaborate and coordinate with faculty and students to promote the growth of Data Science skills and knowledge. The successful candidate will have a PhD Degree in a field relating to Data Science and experience delivering Data Science education in a university environment.
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.
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.
TAMIDS has developed “building blocks” for Data Science education, training, consultancy and project development that can support proposals for extramural funding.