Arielle Anderer

Assistant Professor of Operations, Technology, and Information Management
Cornell University, Johnson Graduate School of Management
(she/her/hers)
aea68 "at" cornell "dot" edu
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photo of Arielle
About

I am currently an assistant professor in Operations, Technology, and Information Management at the Johnson Graduate School of Management. I received my PhD from the Operations, Information, and Decisions (OID) department at the University of Pennsylvania's Wharton School, where I was advised by professor Hamsa Bastani . My research is centered around studying adaptive learning algorithms for healthcare operations. My work thus far has focused on applications to the design of clinical trials and disease pre-screening algorithms, though it is more widely applicable to other areas as well.

My CV can be found here.

Papers
  • Published
    • Adaptive Clinical Trial Design with Surrogates: When Should we Bother? (with H Bastani, J Silberholz), 2021, Management Science. preprint.
      • 2020 - Winner, MSOM Best Student Paper Award
      • 2020 - Finalist, Public Sector Operations Research Best Paper Award
      • 2019 - Winner, Pierskalla Best Paper Award
  • Working Papers
    • Survival Bandits (with H Bastani, J Silberholz).
    • Online Learning with Randomized Neural Networks (with D Singhvi).
Honors and Awards
  • 2020 - Bonder Scholar
  • 2020 - Winner, MSOM Best Student Paper Award
  • 2020 - Finalist, Public Sector Operations Research Best Paper Award
  • 2019 - Winner, Pierskalla Best Paper Award
Teaching
  • MBA Program Teaching Assistant
    • Operations Management: Quality and Productivity (OID 611), 2021
    • Operations Strategy (OID 615), 2021
    • Analytics for Revenue Management (OID 643), 2022
  • Executive MBA Program Teaching Assistant Operations Strategy (OID 615), 2021
  • Undergraduate Program Teaching Assistant Introduction to Management Science (OID 321), 2019 & 2020
Talks
  • Clinical Trial Design with Surrogates: When Should we Bother? presented at POMS 2019, INFORMS Healthcare 2019, INFORMS 2019, INFORMS 2020, YinzOR Conference 2021.
  • Adaptive Transfer Learning for Healthcare Operations: From Surrogates to Bandits presented at INFORMS 2020, INFORMS Healthcare 2021.
  • Bandit Algorithms with Time-to-Event Data presented at MSOM 2022
Service
  • Co-Chair, Pierskalla Award for Best Paper in Healthcare, 2020.
  • Judge, Pierskalla Award for Best Paper in Healthcare, 2021, 2022.
  • Judge, Pennsylvania Technology Student Association (PA-TSA) State Conference, 2021, 2022
  • Speaker, CMU YinzOR Student Conference, 2021
  • Organizer of Operations, Information and Decisions Doctoral Student Seminar Series, 2020-2022