The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory
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Past Event Resources

(listed in reverse chronological order)
April 15, 2025: Hands-on Training in Artificial Intelligence and Deep Learning

 

April 8, 2025: RAD Collaboratory AI/Machine Learning Networking Event

 

March 14, 2025: New Jersey Big Data Alliance’s Research Collaboration Forum

 

March 5, 2025: RAD Collaboratory Data Science Networking Event
  1. CASS: Cyberinfrastructure and AI for Science and Society, presented by Alyson Brooks, Associate Professor, Physics and Astronomy, School of Arts and Sciences   
  2. Ensuring security and privacy of large-scale datasets: a synthetic data perspective, presented by Jaideep Vaidya, Distinguished Professor, Management Science and Information Systems, Rutgers Business School and Director, Rutgers Institute for Data Science, Learning, and Applications
  3. Solar Climate Intervention, presented by Lili Xia, Assistant Research Professor, Environmental Sciences, School of Environmental and Biological Sciences
  4. Remote Sensing of Turfgrass, presented by Juan Gonzalez, Postdoctoral Research Associate, Plant Biology, School of Environmental and Biological Sciences
  5. Rutgers University Center for Ocean Observing Leadership (RU-COOL) 30 Years of Coastal Ocean Data, presented by Hugh Roarty, Director of CODAR, Marine and Coastal Sciences, School of Environmental and Biological Sciences
  6. RU-COOL Autonomous Underwater Gliders, presented by Joe Gradone, Postdoctoral Research Associate, Marine and Coastal Sciences, School of Environmental and Biological Sciences
  7. Sign Language Data Science Applications, presented by Dimitris Metaxas, Board of Governors Professor, Computer Science, School of Arts and Sciences
  8. Socially Cognizant Robotics for a Technology Enhanced Society (SOCRATES), presented by Kristin Dana, Professor, Electrical and Computer Engineering and Director, SOCRATES, School of Engineering
  9. RCSB Protein Data Bank, presented by Stephen K. Burley, University Professor and Henry Rutgers Chair, Chemistry and Chemical Biology, School of Arts and Sciences
  10. Medical Imaging Data Science Applications, presented by Dimitris Metaxas, Board of Governors Professor, Computer Science, School of Arts and Sciences
  11. Peptide Screening Using in vivo Phage Display for the Development of Targeted Therapies, presented by Alex Ille, Postdoctoral Research Associate, Joint Laboratory of Renata Pasqualini and Wadih Arap, Rutgers Cancer Institute – Newark
  12. Closing the Gap in the Precision Medicine Model: Digital Behavioral Data Under a New Unifying Statistical Platform, presented by Elizabeth B. Torres, Professor, Psychology, School of Arts and Sciences
  13. Advancing patient-centered research using meta-analysis of individual patient data to study comparative effectiveness in comorbid PTSD and substance use disorder treatment outcomes, presented by Denise Hien, Senior Vice Provost for Research and Helen E. Chaney Endowed Chair in Alcohol Studies and Distinguished Professor, Graduate School of Applied and Professional Psychology
  14. Best Practices for Archiving Large Video Datasets, presented by Dimitris Metaxas, Board of Governors Professor, Computer Science, School of Arts and Sciences
  15. PDBx/mmCIF Data Standard: Foundation for FAIR Data Access in the Protein Data Bank, presented by Brinda Vallat, Associate Research Professor, Institute for Quantitative Biomedicine, School of Arts and Sciences
  16. Rutgers Cyberinfrastructure Resources at the Office of Advanced Research Computing, presented by Udi Zelzion, Senior Scientist, Office of Advanced Research Computing
  17. Rutgers Cyberinfrastructure Resources at the Office of Information Technology, presented by Andy Page, Infrastructure Architect, Office of Information Technology
  18. Rutgers University Libraries Support for Data Science, presented by Ryan Womack, Data Librarian, Rutgers University Libraries
  19. Data Science Education: Undergraduate Major, SEED2S, and MS Program, presented by Thu Nguyen, Dean of Mathematical and Physical Sciences, Professor of Computer Science, School of Arts and Sciences
  20. Designing and Scaling a Senior-Level Data Science Course CS 439 for Computer Science Majors: Managing High Enrollment and Demand, presented by Ananda “Andy” Gunawardena, Teaching Professor, Computer Science, School of Arts and Sciences

 

February 18, 2025: Hands-on Training in Artificial Intelligence and Deep Learning

 

February 9, 2025: Rutgers American Medical Student Association’s (AMSA) 17th Annual Pre-Health Conference on “The Future of Medicine”

 

January 22, 2025: RAD Collaboratory Inaugural Networking Event
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