Nick Duffield
TAMIDS Director
Professor, Department of Electrical and Computer Engineering
Royce E Wisenbaker Professor I
Email: duffieldng@tamu.edu
Website: https://tx.ag/duffield
Location: BLOC 227G / WEB 332D
Phone: 979.845.7328
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 Management
Drew Casey
TAMIDS Assistant Director for Program Engagement
Drew Casey is TAMIDS’s Assistant Director for Program Engagement. Drew has been with Texas A&M since 2017, previously working at the Institute for Engineering Education and Innovation and Texas Sea Grant. Prior to moving to College Station, Drew was a communications professor for Renmin University of China and Embry-Riddle Aeronautical University. He received a Bachelor’s degree in Technical and Scientific Communication from Embry-Riddle Aeronautical University, a Master’s degree in Asian Studies, with a focus on East-Asian security and technology issues, from Florida State University; and a Master’s in Public Service & Administration from Texas A&M’s Bush School.
Drew’s role as Assistant Director for Program Engagement is to increase the impact of TAMIDS’s programs by identifying opportunities to connect participants, capabilities, and activities across programs, and working with students, faculty, partner organizations, and program participants to establish these connections. Drew also identifies opportunities for new TAMIDS engagement programs, designs and develops these into opportunities for students, researchers, and educators.
Simon Foucart
TAMIDS Associate Director of External Academic Engagement
Professor, Department of Mathematics
Email: foucart@tamu.edu
Website: Simon Foucart Profile
Location: BLOC 502D
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).
Krishna Narayanan
TAMIDS Associate Director for Education Initiatives
Eric D. Rubin ’06 Professor, Department of Electrical and Computer Engineering
Email: krn@tamu.edu
Website: http://krishnanarayanan.wikidot.com/
Location: BLOC 221A
Phone: 979.422.9891
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.
Christina Retzer
Program Manager, Master of Science in Data Science Program
Email: ceretzer@tamu.edu
Location: BLOC 227B
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.
Jian Tao
TAMIDS Assistant Director for Project Development & TAMIDS Digital Twin Lab Director
Assistant Professor, Visual Computing and Creative Media Section, School of Performance, Visualization & Fine Arts
Affiliated Faculty, Electrical and Computing Engineering, Nuclear Engineering, and Multidisciplinary Engineering, Multidisciplinary Engineering College of Engineering
Email: jtao@tamu.edu
Website: Jian Tao Profile
Location: BLOC 224C / ARCA 314
Dr. Jian Tao is an Assistant Professor in the School of Performance, Visualization and Fine Arts at Texas A&M University. Dr. Tao also holds courtesy appointments at the Department of Electrical & Computer Engineering, Department of Nuclear Engineering, and Department of Multidisciplinary Engineering. 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. At TAMIDS, Dr. Tao leads the development and execution of Data Science collaboration between TAMIDS and Texas A&M academic and operational partners.
Tao received his Ph.D. in Computational Astrophysics from Washington University in St. Louis in 2008 and worked on computational frameworks for numerical relativity, computational fluid dynamics, coastal modeling, and other applications at Louisiana State University before he joined Texas A&M in 2016. In 2018, Tao led the Texas A&M team to the final of both the ASC18 and SC18 student cluster competitions. He currently serves as a faculty advisor of the Texas A&M 12th Unmanned Team for the SAE/GM AutoDrive Challenge Competition and leads a project funded by the Department of Commerce to build a digital twin for the Disaster City at Texas A&M University. Tao is an NVIDIA DLI University Ambassador and XSEDE Campus Champion at Texas A&M and a contributor to the SPEC CPU 2017 benchmark suite.
His research interests include numerical modeling, machine learning, data analytics, distributed computing, visualization, digital twin, and workflow management.
TAMIDS Administration
Angela Guerra
Senior Administrative Coordinator II
Prior to coming to Texas A&M University, Angela was employed with College Station ISD for 5 years as a Campus Office Assistant with Cypress Grove Intermediate. Angela brings with her a passion for supporting students with their Academic careers. As of June 2024, Angela C. Guerra serves as the Sr. Administrator Coordinator II for Dr. Duffield for the Texas A&M Institute of Data Science office. Prior to joining the team, she served with the Division of Student Affairs for 6 years. Angela has been with Texas A&M University since 2015. Angela enjoys crafting, baking, and spending time with her family.
Delany Baum
TAMIDS Program Specialist
Email: delany_baum@tamu.edu
Location: BLOC 223A
Delany joined TAMIDS as the Program Specialist in 2024 where she oversees communications efforts including social media, website updates, and outreach across campus. Delany received her Master’s in environmental science from the University of North Texas in 2020 where her focus was education and communications. Prior to joining TAMIDS, she served as a project coordinator with Texas A&M AgriLife Research for three years where she organized events, managed social media accounts, and performed administrative duties.
Angie Rollins
Administrative Coordinator I
Email: a-rollins@tamu.edu
Location: BLOC Suite 227
Angie Rollins joined the Texas A&M Institute of Data Science (TAMIDS) team on November 1, 2022 as Administrative Coordinator I. In this position, Angie will provide administrative support to TAMIDS leadership and staff, provide general office support and assist with event coordination and planning. Angie comes to us from the Department of Entomology, Texas A&M Agrilife, where she worked in administrative positions for the past 13 years. Outside of work, Angie enjoys spending time with her family and stays busy trying to keep up with her 13 year old daughter, Summer. Angie is passionate about cooking, spontaneous getaways with family & friends and her cats! Welcome to TAMIDS Angie! We are excited to have you on board!
Allie Saxton
Student Web Developer
Email: allie.saxton@tamu.edu
Location: 227
Allie Saxton is a Computer Science Student at Texas A&M, 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
Yalong Pi
Associate Research Scientist & TAMIDS / GEOSAT Operational Data Science Lab Director
Dr. Yalong Pi is an Associate Research 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.
Haoyu Niu
Research Engineer III & TAMIDS Agriculture Smart Data Lab Director
Dr. Haoyu Niu joined the Department of Electrical & Computer Engineering on January 1, 2023, as a Research Engineer III, and works at TAMIDS at the intersection of Data Science and cyberinfrastructure for smart agriculture. He joins a team of researchers from TAMIDS, Texas A&M’s Department of Electrical & Computer Engineering, AgriLife Research, AgriLife Extension, and the School of Performance, Visualization and Fine Arts on a project to develop data-driven infrastructure that enables efficient irrigation using AI-derived crop-growth model based in UAS imaging and environmental data.
Haoyu received his Ph.D. in Electrical Engineering and Computer Science from the University of California, Merced in 2022. Among many honors and awards, most recently Haoyu won first place for the 2021 CITRIS Aviation Prize and in 2020 was awarded the GRAD-EXCEL Award for Peer Mentorship. Haoyu’s research interests are in Machine Learning, Deep Learning, Big Data, Precision Agriculture, and sUAS Remote Sensing/Application, such as water stress detection, early detection of nematodes, yield estimation, and evapotranspiration (ET) estimation.
Snehashis Chakraborty
Research Engineer III
Department of Electrical & Computer Engineering & TAMIDS
Email: snehashisc@tamu.edu
Location: BLOC 221F
Website: Snehashis Chakraborty Profile
Snehashis Chakraborty joined the Department of Electrical & Computer Engineering on February 1, 2023 as a Research Engineer III. Snehashis works at the Texas A&M Institute of Data Science (TAMIDS) to develop innovative Data Science and AI applications for infrastructure and operational project, including a NIST-supported collaboration to develop data and tools for planning for Public Safety Radio services.
Snehashis received his Masters in Statistics from the Indian Statistical Institute, Kolkata in 2014. He worked as a data scientist in industry from 2014 to 2018 for a ride-sharing start up, as well as multinational banks. More recently, Snehashis spent the last four years as an Industry Research Fellow at the National University of Singapore. Among his many achievements, Snehashis won the best project award at ICICI Bank for location based intelligence models in 2015. Snehashis research interests lie in statistical modeling, text mining, machine learning and computer vision.
Suphanut Jamonnak
Postdoctoral Research Associate, Urban AI Lab
Email: j.suphanut@tamu.edu
Location: BLOC 221B
Dr. Suphanut Jamonnak joined the TAMIDS Urban AI Lab in August 2023 as a Postdoctoral Research Associate working with Dr. Xinyue Ye, Lab director and Professor in the Department of Landscape Architecture and Urban Planning. His research interests include geospatial analysis, visual analytics, Human-computer interaction (HCI) and eXplainable AI (XAI). Dr. Suphanut received his Ph.D. degree in Computer Science from Kent State University in 2021. Before joining TAMIDS, Suphanut worked as Postdoctoral Research Scientists at Research and Technology Center North America, Robert Bosch LLC. His works have been published in multiple leading conferences and journals, e.g. IEEE TVCG, EuroVis, IJGIS and CVPR.
Suparno Bhattacharyya
Postdoctoral Research Associate, Digital Twin Lab
Email: suparnob@tamu.edu
Location: BLOC 221B
Dr. Suparno Bhattacharyya holds a Ph.D. in Engineering Science and Mechanics from Penn State University, an M.Tech in Mechanical Engineering from the Indian Institute of Technology, Kanpur, and a BE in Mechanical Engineering from Jadavpur University, India.
His doctoral research centered on the model order reduction of dynamical systems using Proper Orthogonal Decomposition (POD). This work produced a novel physics-informed criterion that effectively determined the dimension of reduced-order models, ensuring accurate representation for both linear and nonlinear structural vibration systems.
Subsequent to his doctoral studies, Dr. Bhattacharyya undertook a postdoctoral position at Clemson University where he focused on topology optimization for bandgap maximization in 2D lattice structures, and purely data-driven model discovery of structural vibration systems using neural ordinary differential equations.
In August 2023, he transitioned to the TAMIDS Digital Twin Lab as a Postdoctoral Research Associate, working closely with Drs. Jian Tao, Jean Ragusa, and Eduardo Gildin on the reduced-order modeling of nonlinear systems.
Outside of these research endeavors, Dr. Bhattacharyya has exhibited a commitment to professional growth, securing certifications in both machine learning and online teaching, further enhancing his multifaceted skill set.
Beyond his academic achievements, Dr. Bhattacharyya is an Indian classical vocalist, reflecting his commitment to cultural traditions. Additionally, he possesses a keen passion for traveling, allowing him to immerse himself in diverse cultures and landscapes.
TAMIDS Thematic Lab Directors
Haoyu Niu
TAMIDS Agriculture Smart Data Lab Director
See listing above
Ulisses Braga-Neto
TAMIDS SciML Lab Director
Professor, Electrical and Computing Engineering
Email: ulisses@tamu.edu
Website: Ulisses Braga-Neto Profile
Location: WEB 236B
Phone: 979.862.6441
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.
Ann McNamara
TAMIDS VIVID Lab Director
Professor, School of Performance, Visualization & Fine Arts
Associate Dean for Research & Creative Works
Email: ann@viz.tamu.edu
Website: Ann McNamara’s Profile
Location: SCTS 105
Phone: 979.845.4715
Dr. Ann McNamara is the Associate Dean for Research & Creative Works and Professor in the School of Performance, Visualization & Fine Arts 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.
Lu Tang
TAMIDS Data Justice Lab Director
Professor, Communications
Email: ltang@tamu.edu
Website: Lu Tang Profile
Location: BLTN 209D
Phone: 979.845.5500
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.
Jian Tao
TAMIDS Digital Twin Lab Director & TAMIDS Assistant Director for Project Development
See listing above
Xinyue Ye
TAMIDS Urban Artificial Intelligence Lab Director
Professor, Landscape Architecture & Urban Planning
Email: xinyue.ye@tamu.edu
Website: Xinyue Ye Profile
Location: ARCA A 306
Phone: 979.485.4306
Dr. Xinyue Ye holds Harold Adams Endowed Professorship at Department of Landscape Architecture and Urban Planning at Texas A&M University. His research focuses on geospatial artificial intelligence, big data, smart cities, and urban computing. According to Google Scholar Citation Global Ranking, Dr. Ye is ranked as: Urban Informatics (#7) and Spatial Econometrics (#11). Because of his innovative research on integrating geography, planning, and computational science, Dr. Ye was the most junior faculty and only the second planning faculty elected as a Fellow of the American Association of Geographers (AAG).
Prof. Ye received the Regional Development and Planning Distinguished Scholar Award from AAG in 2022. He was the recipient of annual research awards from both computational science (New Jersey Institute of Technology) and Geography (Kent State University). He was named one of the top 10 young scientists by The World Geospatial Developers Conference 2021. His work has been funded by National Science Foundation, National Institute of Justice, Department of Commerce, Department of Energy, Department of Transportation, Department of Health and Human Services, Microsoft, and Canada Social Sciences and Humanities Research Council.
Prof. Ye directs the focus of smart cities and transportation in the PhD program of Urban and Regional Science at Texas A&M University. At TAMIDS, he leads Urban Artificial Intelligence Lab. In addition, he is supported by Data Science Course Development Grant Program and Faculty Research Collaboration Program by TAMIDS.
TAMIDS Associate Staff
Shaogang Ren
Postdoctoral Research Associate
Department of Electrical & Computer Engineering (Mentor: Xiaoning Qian)
TAMIDS Postdoc Project Program
Email: renshaogang@gmail.com
Dr. Shaogang Ren joined the Department of Electrical & Computer Engineering in Oct. 2022 as a Postdoctoral Researcher with Prof. Xiaoning Qian. Dr. Ren received his Ph.D. degree in computer engineering from Texas A&M University in 2017. His research interests include deep generative models, causal inference using neural networks, optimization, and their applications in computer vision, medical data analysis, bioinformatics, etc. His works have been published in multiple leading conferences and journals, e.g. NeurIPS, AIStats, TPAMI, WWW, KDD, and so on.
TAMIDS Student Researchers
Connor Gooch
MS in Geography
Email: cgooch@tamu.edu
Connor Gooch graduated in May 2023 from Texas A&M University-Corpus Christi with a bachelor’s degree in Geographic Information Science. He joined Texas A&M in August 2023 and is pursuing a Master’s in Geography. His professional experience is with an internship with the Texas Department of Transportation Corpus Christi District Survey, working as a survey team member conducting field surveys, and working with the GIS department to create and upload GIS data. His research focuses on the utilization of GIS for Transportation, GeoAI, and Python coding.
At TAMIDS he is working on with Snehashis Chakraborty and Nick Duffield on geospatial analysis of public safety radio data in a NIST-funded collaboration with the Internet 2 Technology Center, the Department of Electrical & Computer Engineering, and the School of Performance, Visualization & Fine Arts.
Janvita Reddy
MS in Data Science, Computer Science and Engineering Track
Email: janvita11@tamu.edu
Janvita Reddy joined Texas A&M University in the fall of 2023 to pursue a master’s in Data Science. She completed her undergrad in May 2023 in Mechanical Engineering from the National Institute of Technology, Surat. Janvita’s research interests include Machine Learning with a focus on Computer Vision. During her undergrad, Janvita worked on an industrial project to fully automate the welding process using object detection and also undertook a research internship on domain generalisation models using GANS. She worked with an astronomy research group which resulted in the publication of a paper in The Monthly Notices of the Royal Astronomical Society journal. Janvita is excited to work with Prof. Nick Duffield and Dr. Haoyu Niu on water stress prediction on cotton crops .
Jack Wooley
MS in Data Science, Computer Science & Engineering Track
Email: jwooley@tamu.edu
Jack Wooley graduated in April 2023 from Brigham Young University – Provo with a bachelor’s degree in statistical science and a minor in Spanish. He came to Texas A&M in August 2023 and is currently a student in the Master’s of Data Science program, with an emphasis in computer science and engineering. Jack spent the last year of his undergrad working as a data engineer and analyst for BYU Broadcasting, where he built data pipelines and visualizations and started work on the company’s first fully automated end-to-end ML pipeline, which was used for predicting viewer churn. Additionally, during Jack’s undergrad, he spent a summer as a research assistant for the BYU Physics & Astronomy Department and contributed to a publication in the journal The Monthly Notices of the Royal Astronomical Society.
TAMIDS Former Members
- Mohsen Aghashahi (Research Engineer), Data Scientist, USAA
- Bahareh Alizadeh (Research Engineer)
- Jin Cao (Postdoc), Assistant Professor, Department of Statistics, University of Houston
- Jisu Cao (Postdoc), Assistant Professor, Department of Information Systems, Arizona State University
- Hee Cheol Chung (Postdoc), Assistant Professor, University of North Carolina at Charlotte
- Sutanoy Dasgupta (Visiting Professor), Senior Data Scientist, Intuit
- Liang Ding (Postdoc), Assistant Professor, Fudan University
- Yu Ding (Associate Director for Research Engagement), Anderson-Interface Chair Professor, Georgia Institute of Technology
- Jiaxin Du (Graduate Research Assistant), Assistant Professor, Grand Valley State University
- Brandon Green (Assistant Director for Industry Engagement) BlueForge Alliance
- Zachary Handshoe (Student Web Developer), Software Engineer, ExxonMobil
- Matthew Hielsberg (Affiliated Researcher), System Administrator IV, Texas A&M Technology Services
- Jianhua Huang (Associate Director), Associate Dean and Presidential Professor Chair, Chinese University of Hong Kong, Shenzhen
- Dehao Liu (Postdoc) Assistant Professor, Binghamton University
- Isaias Negassi (Graduate Research Assistant) MS Data Science
- Shahina Rahman (Coordinator for Student Initiatives & Faculty Fellow) AI Research Scientist, Amazon
- Diego Rodriguez (Assistant Director for Educational Programs), Director, Multicultural & International Student Support and Engagement, University of Iowa
- Carlie Schmidl (Administrative Associate), Event Coordinator, Infinity Hospitality, Nashville, TN
- Jennifer South (Senior Administrative Coordinator II), Retired
- Siddhanth Reddy Sirgapoor (Student Technician), MS Data Science
- Sree Kiran Prasad Vadaga (Research Specialist), AI/ML Engineer, PayPal
- Yashaswini Yeramalli (Student Technician), MS Computer Science
- Ming Zhong, (Assistant Research Scientist) Assistant Professor, Illinois Institute of Technology