Stanford University

Showing 31,521-31,530 of 36,197 Results

• Manpreet Toor

  Special Event Patrol, Casual/SEP Staff
  

  • Contact Info

    Mail Code: 7240

    mtoor@stanford.edu
• 

  Jasper August Tootsi

  Graduate Visiting Researcher Student, Electrical Engineering
  Temp - Non-Exempt, Rad/Precision Health and Integrated Diagnostics
  

  • Contact Info

    Mail Code: 9515

    tootsi@stanford.edu
• Tanay Topac

  Postdoctoral Scholar, Aeronautics and Astronautics
  

  • Contact Info

    Mail Code: 4035

    ttopac@stanford.edu
• Benjamin Topacio

  Basic Life Res Scientist
  

  • Contact Info

    Mail Code: 5020

  • Other Names:

    Ben Reyes Topacio

    Ben Topacio
• Maria O Topete

  Food Service Worker I, Ricker Dining
  

  • Contact Info

    Mail Code: 7199

    oli56@stanford.edu
• Michelle Miranda Topete

  Administrative Associate 3, Pathology Ops Business Office
  

  • Contact Info

    Mail Code: 5324

    mmt1108@stanford.edu
• Kandy J Topete Gomez

  Undergraduate, Human Biology
  

  • Contact Info

    ktopete@stanford.edu
• Ufuk Topkara

  Overseas Studies - Berlin, Bing Overseas Studies
  

  • Contact Info

    utopkara@stanford.edu
• Fabio Topolski

  Clinical Instructor, Anesthesiology, Perioperative and Pain Medicine
  

  • Contact Info

    Mail Code: 5640

    topolski@stanford.edu
• 

  Jack Topper

  Graduate, Stanford Center for Professional Development
  

  BioJack Topper is a Scientific Software Engineer at NASA’s Community Coordinated Modeling Center (CCMC), where he designs and operates large-scale scientific data and modeling systems supporting the global space-weather research community. His work focuses on automating high-performance computing workflows, building resilient data pipelines, and translating complex scientific models into reliable, user-facing services.
  
  He collaborates closely with domain scientists to bridge research objectives and production-grade software, and has taken on technical leadership responsibilities spanning system architecture, reliability, and user adoption. His interests sit at the intersection of optimization, decision systems, machine learning, and large-scale infrastructure, with an emphasis on how mathematical models and data-driven methods inform real-world operational decisions.
  
  Jack is currently pursuing Stanford’s Data, Models, and Optimization Certificate through the Stanford Center for Professional Development, including coursework in convex optimization and related decision-science foundations.

  • Contact Info

    jtopper1@stanford.edu