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POSTDOCTORAL FELLOW AT UC-BERKELEY, JD/PHD

I study administrative law, criminal law, and artificial intelligence ethics and regulation. In 2023, I graduated with a JD from Stanford Law School and a PhD from the Stanford Department of Philosphy. My research was advised by Anne Joseph O'Connell, Mariano-Florentino Cuéllar, David Freeman Engstrom, Dan Ho, Debra Satz, and Thomas Icard. Before law school, I worked as an immigration paralegal. I am currently a postdoctoral fellow at Berkeley, and I will go on the law market in fall 2024. My CV is available here.

My teaching interests include administrative law, criminal law, immigration law, and artificial intelligence ethics and regulation. In my prior research, I investigated disparate impact in the administrative state (published in the Yale Law Journal) and facial recognition technology used by Customs and Border Protection (in a report submitted to the Administrative Conference of the United States). For more information about my research, please keep scrolling.

RESEARCH

UNDERSTANDING CRIMINAL ADMINISTRATIVE LAW (LAW REVIEW ARTICLE)

This paper examines the intersection of criminal law and administrative law, and traces the implications for agencies and for the President. The paper was selected for the Administrative Law New Scholarship Roundtable (May 2023) and the AALS New Voices in Administrative Law Workshop (Jan 2024). Draft available upon request.

DISPARATE LIMBO: HOW ADMINISTRATIVE LAW ERASED ANTIDISCRIMINATION (YALE LAW JOURNAL 2021)

This paper uncovers an antidiscrimination blind spot in administrative law doctrine and traces how APA section 704 has been used to channel away disparate impact claims by race and gender subgroups. The paper was co-authored with Daniel E. Ho and David Freeman Engstrom and is available here.

THE CASE AGAINST ALGORITHMIC PRICE PERSONALIZATION (PHILOSOPHY ARTICLE)

This paper examines algorithmic price discrimination, which occurs when companies use sophisticated machine learning algorithms to offer different prices to different customers based on data like the customer's past purchases, web browsing history, or demographic data like age, race, and gender. This paper was one of 8 papers selected for the UCLA Law and Philosophy Workshop (Nov 2023). Draft available upon request.

LAW ENFORCEMENT AT CUSTOMS AND BORDER PROTECTION (CHAPTER)

This chapter examines Customs and Border Protection and its use of facial recognition technology and other algorithmic tools. The chapter was published in Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies, a report submitted to the Administrative Conference of the United States (2020), and was co-authored with Nitisha Baronia, Mariano-Florentino Cuéllar & Daniel E. Ho. The report was peer-reviewed at Jotwell.com as among “the best new scholarship relevant to the law” and was featured in the Wall Street Journal, Bloomberg, Fortune, Forbes, and Law360. Report available here.

COMPUTER VISION IN HOSPITALS AND CARE SETTINGS: ETHICAL & PRIVACY CONCERNS (SCIENCE ARTICLE)

This paper examines new computer vision tools used by hospitals, which include cameras installed in patient hospital rooms (to monitor hospital staff for hand-washing) and motion sensors in assisted living facilities (to detect falls). Co-written with computer science graduate students Zelun Luo and Daniel Wu in Fei-Fei Li's lab, with collaborators from Stanford Medical School. Draft available upon request.

MY REFERENCES ARE AVAILABLE HERE AND MY CV IS AVAILABLE HERE.

Plant Shed
CONTACT

Cristina Ceballos
University of California, Berkeley
Law Building
Berkeley, CA 94720-7200
cceballos5@berkeley.edu

(510) 926-7993

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