Sotabase

Career

· Director of International Programs, University of Hawaiʻi at Mānoa, William S. Richardson School of Law2024–
· Associate Professor of Law, University of Hawaiʻi at Mānoa, William S. Richardson School of Law2021–
· Assistant Professor of Law, University of Hawaiʻi at Mānoa, William S. Richardson School of Law2019–2021
· Associate Professor of Law, University of Maine School of Law2015–2019
· Visiting Assistant Professor of Law, Pepperdine University School of Law2013–2015
· Law Clerk, U.S. Court of Appeals for the Ninth Circuit2012–2013
· Litigation Associate, Munger, Tolles & Olson LLP2010–2012
· J.D., magna cum laude, Harvard Law School2009–
· Tutor, St. John's College2009–
· MDiv, Religion, Columbia University2008–
· Summer Law Intern, Department of Justice, Civil Rights Division2008–
· Intern, Suffolk County District Attorney’s Office2008–
· Intern, International Justice Mission2005–2006
· Product Specialist, Google Inc.2004–2005
· Creative Maximizer, Google Inc.2003–2004
· A.B., cum laude, Harvard University2002–
· BA, English Literature, Columbia University1997–
· BA, Anthropology, Columbia University
· Masters in AI/ML, Columbia University
· PhD, Religion (Islamic Studies), Columbia University
· Wireless & Mobile Networking Lab Student Researcher, Columbia University
· Executive Director, Infrastructure Investments, GCM Grosvenor
· Midwestern University (AZ)
· Junior, Stuyvesant High School
· University of Missouri Health Care

Publications (0)

International Conference on Learning Representations · 2022
3,117
cited
International Conference on Learning Representations · 2018
987
cited
Neural Information Processing Systems · 2019
419
cited
International Conference on Artificial Intelligence and Statistics · 2020
382
cited
International Conference on Machine Learning · 2023
213
cited
International Conference on Learning Representations · 2023
155
cited
International Conference on Learning Representations · 2020
124
cited
The Art of Modeling in Science and Engineering with Mathematica · 2021
115
cited
Neural Information Processing Systems · 2022
102
cited
Scalable Gradients and Variational Inference for Stochastic Differential Equations
Symposium on Advances in Approximate Bayesian Inference · 2019
78
cited
Neural Information Processing Systems · 2022
69
cited
International Conference on Artificial Intelligence and Statistics · 2021
53
cited
International Conference on Machine Learning · 2022
53
cited
International Conference on Machine Learning · 2020
52
cited
Neural Information Processing Systems · 2019
38
cited
International Conference on Machine Learning · 2023
37
cited
"Hey, that's not an ODE": Faster ODE Adjoints with 12 Lines of Code
arXiv.org · 2020
34
cited
Trans. Mach. Learn. Res. · 2023
31
cited
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