Dr. Nick Duffield is a Professor in the Department of Electrical and Computer Engineering at Texas A&M University, holder of the Royce E. Wisenbaker Professorship I, and Director of the Texas A&M Institute of Data Science. He is co-Director of the NSF TRIPODS Research Institute on the Foundations of Interdisciplinary Data Science at Texas A&M, serves on the Executive Committee of the Texas A&M Center for Geospatial Sciences, Applications and Technology (GEOSAT), and holds a courtesy appointment in the Texas A&M Department of Computer Science and Engineering. His research combines the foundations and applications of data science and computer networking, currently graph stream sampling, network measurement and resilience, and applications of data science to transportation, agriculture, hydrology, infrastructure and operations. In his TAMIDS role he directs the MS in Data Science in collaboration with the Colleges of Science and Engineering, He is an ACM Fellow, IEEE Fellow, and IET Fellow, and was a co-recipient of the ACM Sigmetrics Test of Time Award in both 2012 and 2013 for work in Network Tomography. From 1995 to 2013 Duffield worked at AT&T Labs, Florham Park, NJ, where he was a Distinguished Member of Technical Staff and an AT&T Fellow, and prior to that held faculty and postdoctoral positions in Germany and Ireland. He received his PhD in Physics from the University of London, UK in 1987 and the MMath and BA in Natural Sciences from the University of Cambridge, UK, in 1983 and 1982 respectively.
TAMIDS Program Directors
TAMIDS Associate Director of Research Engagement
Dr. Yu Ding is Associate Director for Research Engagement of Texas A&M Institute of Data Science and the Mike and Sugar Barnes Professor of Industrial & Systems Engineering at Texas A&M University. Dr. Ding received his Ph.D. degree from the University of Michigan in 2001. His research interest is in data and quality science. Dr. Ding is a recipient of the 2018 Texas A&M Engineering Research Impact Award, the 2019 IISE Technical Innovation Award, the 2020 Texas A&M’s University-Level Distinguished Achievement Award in Research, and a Fellow of IISE and ASME. Dr. Ding is serving as the Editor-in-Chief for IISE Transactions for the term of 2021-2024.
TAMIDS Associate Director of External Academic Engagement
After earning a Masters of Engineering from Ecole Centrale Paris, Simon Foucart received his PhD in Mathematics from the University of Cambridge in 2006. He took two postdoctoral positions, at Vanderbilt University and at Paris 6 University, before joining Drexel University in 2010 and moving to the University of Georgia in 2013. Since 2015, he has been with Texas A&M University, where he became Professor and Presidential Impact Fellow in 2019. He also held short visiting appointments at University of Bonn, University of South Florida, Hong Kong University of Science and Technology, CNRS Toulouse, and University of Wisconsin-Madison.
Dr. Foucart’s most influential work to-date revolves around the field of Compressive Sensing. His contribution was recognized by the 2010 Best Paper Award from the Journal of Complexity. His current interests include the mathematical aspects of Metagenomics, Optimization, Deep Learning, and Data Science at large. He serves on the editorial board of Journal of Approximation Theory, of Journal of Numerical Mathematics, and of Sampling Theory, Signal Processing, and Data Analysis.
Aside from 50+ peer-reviewed research articles, Dr. Foucart has written two graduate-level textbooks: ‘A Mathematical Introduction to Compressive Sensing’ (with Holger Rauhut, Birkhauser) and ‘Mathematical Pictures at a Data Science Exhibition’ (to appear, Cambridge University Press).
TAMIDS Assistant Director for Industry Engagement
Location: BLOC 227E
Brandon Green joined the Texas A&M Institute of Data Science as Assistant Director for Industry Engagement. Brandon comes to us from TAMU Engineering where he has been part of the Texas A&M Engineering Experiment Station’s Professional Education group. Before coming to TAMU 5 years ago, Brandon spent a variety of roles in Industry ranging from groups involved in education, entertainment, research as well as the medical community. Brandon obtained his undergraduate from Rice University and his Masters in Leadership in Higher Education from Pepperdine University. Outside of work Brandon spends time with his 4 kids (Jackson 10, Olivia 8, Brody 6 & Guy 4) and wife Kara. Brandon enjoys sports and almost any outdoor activity. Brandon is a native Texan and has expressed his excitement to join the TAMIDS team in helping advance the mission of TAMIDS and the people we serve in the State of Texas.
TAMIDS Associate Director for Education Initiatives
Dr. Krishna Narayanan is TAMIDS Associate Director for Education Initiatives and Eric D. Rubin ’06 Professor in the Department of Electrical & Computer Engineering. Dr. Narayanan leads the academic design of new education and training programs, both within TAMIDS and collaboratively with Texas A&M faculty and academic units.
After earning a Bachelor’s degree from Coimbatore Institute of Technology, Masters of Electrical Engineering degree from Iowa State University, Krishna Narayanan received his PhD in Electrical Engineering from the Georgia Institute of Technology in 1998. Since1998, he has been with Texas A&M University, where he became Professor in 2008 and Eric D. Rubin ’06 Professor in 2016., He also held short visiting appointments at University of California at Berkeley, Institut Eurecom, Sophia Antipolis, France and University of Illinois at Urbana Champaign. Dr. Narayanan’s research interests include coding theory and information theory, machine learning, signal processing for big data, next-generation wireless systems including 5G/6G cellular systems, Internet of Things, data storage, and distributed computing.
Aside from numerous publications, editorial positions, and invited talks, Dr. Narayanan has been recognized with a variety of prestigious awards for both his teaching and research including the 2014 Professional Progress in Engineering Award from the College of Engineering at Iowa State University, the 2018 Texas A&M Association of Former Students university-level teaching award, the 2009 Halliburton professorship, the 2020 and 2006 Best Paper Awards in data storage from the IEEE communications society and the 2001 National Science Foundation CAREER award, and in 2015, Dr. Narayanan was elected IEEE Fellow for his research and educational contributions.
TAMIDS Coordinator for Student Initiatives
Dr. Shahina Rahman, Instructional Assistant Professor, Department of Statistics, College of Science, is TAMIDS Coordinator for Student Initiatives. In her TAMIDS role, Dr. Rahman develops student engagement programs and directs the Data Science Ambassador Scholarship Program. Dr. Rahman received her Ph.D. in Statistics from Texas A&M University in 2015 and was named a ConocoPhilips Data Science Faculty Fellow for 2021 and 2022 in recognition of her contributions to development of electives for the Undergraduate Certificate in Data Analytics for the Petroleum Industry. Dr. Rahman’s research interests include Machine Learning and High dimensional Data Analysis.
Assistant Director for Educational Programs
Diego Rodriguez joined the Texas A&M Institute of Data Science (TAMIDS) as Assistant Director for Educational Programs. Prior to joining the Institute of Data Science, Diego served in several key positions such as the Associate Director of Employer Engagement and Director of Internships at a small liberal arts college in the Mid-West and also served as the Senior Program Manager at the NASA Langley Research Center, Education Lead at NASA Headquarters, and Program Manager at the NASA Johnson Space Center among others. Outside of work, Diego enjoys spending time with his family, children, playing soccer, running marathons, and fishing.
TAMIDS Assistant Director for Project Development
Dr. Jian Tao, Assistant Professor, Department of Visualization, College of Architecture, has been appointed as TAMIDS Assistant Director for Project Development. Dr. Tao has been a key contributor to TAMIDS programs in education, training, and research engagement, and served as the Associate Director of TAMIDS SciML Lab. In his new role, Tao will lead the development and execution of Data Science collaboration between TAMIDS and Texas A&M academic and operational partners.
Dr. Tao received his Ph.D. in Physics (Computational Astrophysics) from Washington University in St. Louis in 2008. He is a contributor to the SPEC CPU 2017 benchmark suite. He is also an NVIDIA DLI University Ambassador and XSEDE Campus Champion at Texas A&M University. His research interests include computational physics, high performance computing, parallel programming, numerical algorithms, computational framework, data analytics, machine learning, and workflow management.
Senior Administrative Coordinator II
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Jennifer South is Senior Administrative Coordinator II at TAMIDS. 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. Jennifer joined TAMU in 1989. Prior to joining TAMIDS, Jennifer spent the past 18 years working as Assistant to the Department Head (2000-2014) and Assistant to the Director for Online Programs and MS Analytics program (2014-2018) for the Department of Statistics. Jennifer’s vast experience in her past roles in coordinating administrative support, project management in the area of development and distance education, make her an invaluable member of our staff.
Program Coordinator II
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Christi Retzer joined TAMIDS as Program Coordinator II. Christi coordinates 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. She worked at the University of Houston for five years as an international transfer credit analyst and then spent seven years at the University of Texas Medical Branch as a graduate admissions coordinator for the School of Nursing, and as a graduate program coordinator for the Institute for Medical Humanities. Christi received her Bachelor’s Degree in Applied Design/Visual Arts from the University of Houston-Clear Lake, and her MBA from Texas Woman’s University. Outside of work Christi enjoys traveling, wine tasting, home and art projects, and spending time with her three nephews.
Administrative Associate II
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Carlie Payne joined the Texas A&M Institute of Data Science (TAMIDS) team as Administrative Associate II. In this position, Carlie provides administrative support to TAMIDS leadership and staff, provides general office support and assists with event coordination and planning. Carlie graduated from the University of Houston with her bachelor’s in Hotel Restaurant Management with an emphasis in Event Management. Carlie previously worked in the wedding and hospitality industry for several years before moving to the university side to coordinate events for Dixie State University. She recently moved back to Texas after briefly living in Utah. Outside of work, Carlie enjoys traveling, yoga, crafting, and playing with her dog!
Student Web Developer
Allie Saxton is an Engineering student at Texas A&M with interests in Computer Science, and has been working with TAMIDS since May 2022 as a student technician. Alongside maintaining the TAMIDS website, Allie helps out with the Coffee Connections program by matching participants. In her free time, she loves baking and going on hikes.
TAMIDS Research Staff
Research Engineer III, Urban Hydroinformatics
Dr. Mohsen (Mo) Aghashahi is a Postdoctoral Research Engineer at TAMIDS, working on Urban Hydroinformatics since 2022. He received his Ph.D. in Civil Engineering from Texas A&M University (TAMU) in 2021, under Dr. M. Katherine Banks. Mo served as the ASCE Water Distribution Systems Analysis and Cybersecurity of Water Distribution Systems committees as chair and secretary from 2019 to 2021. He received a graduate teaching fellowship from the College of Engineering at TAMU in 2019 and the best poster award at the World Environmental and Water Resources Congress in 2017. Mo’s research interest is in smart water distribution systems focusing on advanced metering infrastructure (AMI) data analytics, anomaly detection, and data-driven cybersecurity.
Postdoctoral Data Scientist, Operational Data Science
Dr. Yalong Pi is a Postdoctoral Data Scientist in the Texas A&M Institute of Data Science (TAMIDS) at Texas A&M University since 2020. During 2013-2016, he worked as a project manager at Gree Real Estate Co. Ltd, Zhuhai City, China. He also worked as a junior architect at Shanghai Water&Rock Group in 2017. He obtained a Ph.D. in Architecture from Texas A&M University (2020), a Master’s Degree of Civil Engineering (2013) from Wuhan Institute of Technology, and a Bachelor Degree of Mechanical Engineering (2011) from Wuhan Textile University. He is a certified Architectural Engineer in mainland China. His research focuses on machine learning (computer vision) and data mining, applications in domains including disaster reconnaissance, transportation, construction automation, and building information modeling.
Assistant Research Scientist, Scientific Machine Learning
In July 2021, TAMIDS welcomed Dr. Ming Zhong as a Postdoctoral Researcher for the TAMIDS Scientific Machine Learning (SciML) lab. Dr. Zhong joined us from Johns Hopkins University, Department of Applied Mathematics & Statistics. Dr. Zhong received his PhD in Applied Mathematics & Statistics and Scientific Computing (AMSC) from the University of Maryland in 2016. His research interests include Scientific Machine Learning, Inverse Problems, Numerical ODE/PDE, and Scientific Computing. His research develops new methods for solving PDE related forward and inverse problems using Deep Neural Networks and Gaussian Processes at the SciML lab.
TAMIDS Thematic Lab Directors
TAMIDS SciML Lab Director
Dr. Ulisses Braga-Neto is a Professor at the Electrical and Computer Engineering Department of Texas A&M University. He received his Ph.D. in Electrical and Computer Engineering from The Johns Hopkins University in 2002. His research focuses on Statistical Signal Processing and Machine Learning, with applications in diverse scientific and engineering problems. Dr. Braga-Neto has proposed novel algorithms in these areas, such as the Bolstered Classifier Error Estimator, the Boolean Kalman Filter, and Self-Adaptive Physics-Informed Neural Networks. He is Director of the Scientific Machine Learning Lab at the Texas A&M Institute of Data Science (TAMIDS). He is currently Associate Editor of the IEEE Signal Processing Magazine and a member of the Machine Learning for Signal Processing Technical Committee at the IEEE Signal Processing Society (SPS). He is a former President of the Mid-South Computational Biology and Bioinformatics Society (MCBIOS). Dr. Braga-Neto has authored more than 140 peer-reviewed publications, including two books. He received the NSF CAREER Award in 2009 and the Outstanding Professor Award from the Department of Electrical and Computer Engineering at Texas A&M University in 2013.
TAMIDS VIVID Lab Director
Dr. Ann McNamara is the Associate Dean for Research in the College of Architecture and an Associate professor in the Department of Visualization at Texas A&M University. Her research focuses on advancing computer graphics and data visualization through novel approaches for optimizing an individual’s experience when creating, viewing, and interacting with data, particularly using new paradigms for immersive virtual and augmented spaces.
TAMIDS Data Justice Lab Director
Dr. Lu Tang is an Associate Professor of Health Communication at the Department of Communication, Texas A&M University. She received her doctorate in communication from the Annenberg School for Communication and Journalism at the University of Southern California. She taught at University of Tennessee, Knoxville, and the University of Alabama before joining TAMU in 2017.
Her research shows how people understand and communicate about health and illness and how such understanding and communication are enabled and constrained by social, political, cultural, and technological factors. Currently, her research focuses on the spread of health misinformation on social media, especially misinformation related to vaccines. Her work has been covered in major news outlets including CNBC, Time, Bloomberg Law, and Houston Chronicle.
TAMIDS Associated Staff
Postdoctoral Research Associate
Department of Statistics (Mentor: Matthias Katzfuss)
TAMIDS Postdoc Project Program
Dr. Jian Cao joined the Department of Statistics, College of Science, in May 2021 as Postdoctoral Researcher with Dr. Matthias Katzfuss, Associate Professor, supported in part by the TAMIDS Postdoc Project Program. Dr. Cao obtained his Ph.D. degree in Statistics from King Abdullah University of Science and Technology (KAUST) in 2020. In 2018, he won the Student Paper Award from the Statistics Computing Section of the American Statistical Association. Dr. Cao’s main research interests include high-dimensional Gaussian processes, computational statistics, low-rank methods, and scientific computing. For his TAMIDS activities, Dr. Cao collaborates with Dr. Katzfuss and Dr. Seth Murray, Professor and Butler Chair for Corn Breeding and Genetics, Department of Soil and Crop Sciences, on statistical modeling and prediction for corn-field growth.
Hee Cheol Chung
Postdoctoral Research Associate
Dr. Hee Cheol Chung is a postdoctoral research associate in the Department of Statistics, Texas A&M University. He is currently working with Drs. Raymond Carrol, Robert Chapkin, Irina Gaynanova and Yang Ni. Before joining Texas A&M, he received a Ph.D. degree in Statistics from the University of Georgia.
Visiting Assistant Professor
Department of Statistics
Visiting Assistant Professor
Dr. Sutanoy Dasgupta is a Visiting Assistant Professor in the Department of Statistics, Texas A & M University, College Station. He works with Dr. Bani Mallick and Dr. Debdeep Pati on graphical models, Bayesian hierarchical models and causal inference. His research interests include Density Estimation, Density Regression, Shape Constrained Estimation, Graphical Models, Data Science, Bayesian Modeling, Off policy evaluation, and meta learning. In TAMIDS he has worked on development and delivery of the NIH-sponsored Biomedical Data Science Online Training Program.
Postdoctoral Research Associate
Dr. Liang Ding currently is a postdoctoral research associate at Texas A&M University. Prior to joining Texas A&M, he was a visiting scholar at the Georgia Institute of Technology. He obtained his B.S. degree in the department of mathematics, University of Toronto, and his Ph.D. degree in the department of industrial engineering & decision analytics, Hong Kong University of Science and Technology. His research interests include High-Dimensional Simulation Optimization, Gaussian Processes, and Statistical Learning.
Research Specialist V
Matthew Hielsberg is a Research Specialist V currently employed full-time by the Mathematics Department at Texas A&M University and is affiliated with the Institute for Scientific Computation (ISC) and the Institute of Data Science (TAMIDS). Over the past 19 years, Mr. Hielsberg has worked to support many research efforts with graphics software, simulation, tool generation and support, cluster support and administration as well as student mentoring and training. He has also collaborated with many researchers from several universities and businesses, and made contributions to many successful MURI’s, SBIR’s, STTR’s and other projects.
From 2002 to 2010 Mr. Hielsberg worked for the Interdisciplinary Mathematics Institute at the University of South Carolina. During his time at USC Mr. Hielsberg focused on creation of visualization tools, custom research applications and algorithm development. He created tools for the real-time manipulation of molecules in Visual Molecular Dynamics (VMD) using USC’s stereographic CAVE and 6D mouse. As part of the AVCAAF program he designed and developed several packages for feature tracking, structure from motion (SFM), and the real-time approximation of terrain from large point cloud data sets using mathematical learning theory. Additionally, he created the USC Simulator, which enabled researchers to use common tools, including Matlab and the USC CAVE, to place simulated cameras and lidar-like sensors in 3D virtual environments for data generation and scenario development.
Mr. Hielsberg was loaned to Texas A&M University in the fall of 2009 for the purpose of designing and developing both algorithms and software for hybrid implicit/explicit terrain learning from point clouds. In 2010 Texas A&M University hired Mr. Hielsberg as an Associate Research Specialist. Since that time he has worked with the Group for Analysis, Imaging and Numerics (GAIN) to develop software for visualizing and analyzing hyperspectral lidar, constrained optimization, parameter estimation of elliptic pde’s, data assimilation, compressive sensing, and deep learning. He has also developed an introductory video series on the R programming language for the TAMIDS Biomedical Data Science Online Training Program, as well as a Python series directed towards the Math Graduate Program. He has made contributions to the TAMU visualization center and to the PCL community, where he organized and maintained a repository of freely available research data and software. In 2020 Mr. Hielsberg took over as administrator of the Whistler Computing Cluster for the Numerical Analysis and Scientific Computation group within the Mathematics Department.
TAMIDS Former Members