Curriculum Vitae

Education

University of Michigan Law School
Juris Doctor, cum laude, 2011

Massachusetts Institute of Technology
Master of Engineering, Electrical Engineering and Computer Science, 2005
Bachelor of Science, Electrical Science and Engineering, 2004
Bachelor of Science, Physics, 2004

  • Phi Beta Kappa, Tau Beta Pi (Engineering Honor Society)
  • Master’s Thesis: Clock Division as a Power Saving Strategy in Systems Constrained by High Transmission Frequency and Low Data Rate

Academic Appointments

UCLA School of Law, Assistant Professor of Law, 2020

Fordham Law School, Adjunct Professor, 2018–2019

  • Course: Governing the Algorithmic Society (Spring 2019)

Data & Society Research Institute, Postdoctoral Scholar, 2017–2019

Yale Information Society Project, Visiting Fellow, 2016–2019

Georgetown University Law Center, Visiting Researcher, 2016–2017

Electronic Privacy Information Center, Scholar in Residence, Spring/Summer 2016

New York University School of Law Information Law Institute, Privacy Research Fellow, 2011–2012

Publications and Works in Progress

The Hidden Assumptions Behind Counterfactual Explanations and Principal Reasons (under review)

Implementing Algorithmic Impact Assessments (in progress)

Negligence and AI’s Human Users, 100 Boston University Law Review __ (forthcoming 2020)

Fairness and Abstraction in Sociotechnical Systems, 2019 ACM Conference on Fairness, Accountability, and Transparency (FAT*) (with danah boyd, Sorelle Friedler, Suresh Venkatasubramanian, Janet Vertesi)

The Intuitive Appeal of Explainable Machines, 87 Fordham Law Review 1085 (2018) (with Solon Barocas)

Disparate Impact in Big Data Policing, 52 Georgia Law Review 109 (2017)

Meaningful Information and the Right to Explanation 7 International Data Privacy Law 233 (2017) (peer reviewed) (with Julia Powles)

A Mild Defense of Our New Machine Overlords, 70 Vanderbilt Law Review En Banc 87 (2017) (invited response)

Big Data’s Disparate Impact, 104 California Law Review 671 (2016) (with Solon Barocas)

Contextual Expectations of Privacy, 35 Cardozo Law Review 643 (2013)

The Journalism Ratings Board: An Incentive-Based Approach to Cable News Accountability, 44 University of Michigan Journal of Law Reform 467 (2011)

Professional Experience

Hogan Lovells LLP, Senior Associate, Communications, 2015–2016

Hon. Jane R. Roth, United States Court of Appeals for the Third Circuit, Law Clerk, 2014–2015

Public Citizen, Alan Morrison Supreme Court Assistance Fellow, 2013–2014

Hon. Dolly M. Gee, United States District Court for the Central District of California, Law Clerk, 2012–2013

Analog Devices, Inc., Design Engineer, October 2006–April 2008

Cirrus Logic, Inc., Mixed Signal Design Engineer, September 2005–October 2006

Analog VLSI and Biological Systems Lab at MIT, Graduate Research Assistant, February 2004–June 2005

Workshops and Invited Presentations

Dispatches from the Fields: Interdisciplinarity in Practice, Keynote, Graduate Law and Artificial Intelligence Conference, Cyberjustice Laboratory, University of Montreal, February 2019

Fairness and Abstraction in Sociotechnical Systems

  • Cornell Tech/Law Colloquium, November 2018

Negligence and AI’s Human Users

  • Law and Society Annual Meeting (Toronto), June 2018
  • Privacy Law Scholars Conference, George Washington University School of Law, May 2018
  • Internet Law Works in Progress Conference, New York Law School, March 2018
  • Ideas Lunch, Yale Information Society Project, November 2017

The Fourth Amendment and Technology (Guest Lecture), Cornell Tech, March 2018

Big Data’s Disparate Impact

  • Stanford Artificial Intelligence & Law Society, Stanford Law School, April 2018
  • Human Rights Watch (New York), November 2017
  • Privacy & Technology Law Association, University of Michigan Law School, November 2017
  • Analytics Frontiers Conference, University of North Carolina Charlotte, March 2017
  • The Law and Business of People Analytics Conference, Saint Louis University School of Law, February 2016
  • Center on Privacy & Technology, Georgetown University Law Center, October 2014
  • Privacy Law Scholars Conference, George Washington University School of Law, June 2014

The Intuitive Appeal of Explainable Machines

  • Sciences Po (Paris), “SMART Law” Course (Guest Lecture), March 2018
  • HEC Paris Research Seminar, March 2018
  • Explainable and Accountable Algorithms Workshop, Alan Turing Institute (London), January 2018
  • Policy Issues Surrounding Artificial Intelligence, Algorithms, and Privacy, Seoul National University School of Law, August 2017
  • Privacy Law Scholars Conference, UC Berkeley School of Law, June 2017
  • Algorithms and Explanations Conference, NYU School of Law, April 2017
  • Big Data Law & Ethics Colloquium, Wharton School, April 2017
  • We Robot 2017, Yale Law School, March 2017
  • Optimizing Government Workshop, University of Pennsylvania Law School, March 2017
  • Innovation Policy Colloquium, NYU School of Law, March 2017

Meaningful Information and the Right to Explanation

  • FAT* Conference, NYU School of Law, February 2018
  • Data & Society Research Institute (New York), December 2017

Disparate Impact in Big Data Policing

  • Shaping Justice Conference, University of Virginia School of Law, February 2018
  • Law and Society Annual Meeting (Mexico City), June 2017
  • Privacy Law Scholars Conference, UC Berkeley School of Law, June 2017

How Do We Implement Discrimination Impact Assessments?, Ohio State Big Data & Criminal Law Roundtable, September 2017

Contextual Expectations of Privacy

  • Privacy Law Scholars Conference, George Washington University School of Law, June 2012
  • Privacy Research Group, NYU School of Law, February 2012

Panels, Roundtables, and Invited Commentaries

Panelist, Automatic Discrimination: Algorithms, Big Data, and the Law of Employment Decisions, AALS Annual Meeting, January 2019

Panelist, Mapping the Solution Space: Toward Socially Beneficial and Accountable Algorithmic Systems, NYU Conference on Trade Secrets and Algorithmic Systems, NYU School of Law, November 2018

Panelist, User Data Control Panel, Fordham Intellectual Property, Media & Entertainment Law Journal Symposium, September 2018

Panelist, Workshop on Fair Representations and Fair Interactive Learning, Computing Community Consortium, March 2018

Panelist, Trade Secrets Institute Symposium: Keeping Secrets from the Public, Brooklyn Law School, February 2018

Participant, Intersectionality and Algorithmic Discrimination Workshop, Lorentz Center (Leiden, Netherlands), December 2017

Participant, Public Data Access Workshop, Rutgers Law School, September 2017

Discussant, Robert Brauneis & Ellen Goodman, Algorithmic Accountability in the “Smart City,” Big Data Law & Ethics Colloquium, Big Data Law & Ethics Colloquium, Wharton School, April 2017

Discussant, Frederik Zuiderveen Borgesius, Legal and Economic Aspects of Online Price Discrimination, Privacy Law Scholars Conference, George Washington University School of Law, June 2016

Discussant, Rebecca Wexler, Police Body Cameras and Other Warrantless Data Collection Upon Lawful Entry to the Home, At the Intersection of Privacy and Property, NYU School of Law, May 2016

Discussant, Hannah Bloch-Wehba, Covert Courts: A First Amendment Right of Access to Electronic Surveillance Applications and Orders, Freedom of Expression Scholars Conference, Yale Law School, May 2016

Discussant, Kiel Brennan Marquez, Private Dragnets, Internet Law Works in Progress, New York Law School, March 2016

Discussant, Jonathan Manes, Secret Law, Freedom of Expression Scholars Conference, Yale Law School, May 2015

Discussant, Felix Wu, The Ontology of Speech, Privacy Law Scholars Conference, UC Berkeley School of Law, June 2013

Testimony and Advocacy

Written Testimony, New York City Council, Hearing on Open Algorithms Law, April 2019 (with Janet Haven)

Panel Briefing on Algorithmic Discrimination, Congressional Progressive Caucus, April 2018

Presentation, Meaningful Information and the Right to Explanation, European Commission, DG Justice, January 2018

Amicus Brief, Carpenter v. United States, Sup. Ct. No. 16-402 (OT 2017) (counsel of record; brief filed on behalf of Data & Society and fifteen scholars of technology and society, August 2017)

Invited Participant, Data Discrimination Workshop, New York City Commission on Human Rights, June 2017; February 2016

Presentation, Big Data’s Disparate Impact, DOJ Civil Rights Division, Housing Section, December 2016

Presentation, Big Data’s Disparate Impact, CFPB Alternative Data Working Group, September 2016

Amicus Brief, Birchfield v. North Dakota, 136 S.Ct. 2160 (2016) (brief filed on behalf of the American Civil Liberties Union February 2016)

Written Testimony before the Equal Employment Opportunity Commission, EEOC at 50: Progress and Continuing Challenges in Eradicating Employment Discrimination, July 2015 (with Solon Barocas)

Amicus Brief, North Carolina Board of Dental Examiners v. Federal Trade Commission , 135 S.Ct. 1101 (2015) (brief filed on behalf of Public Citizen, Inc., August 2014)

Roundtable Participant, Improving Government Performance in the Era of Big Data Opportunities and Challenges for Federal Agencies, White House Office of Science and Technology Policy and Massive Data Institute, Georgetown University McCourt School of Public Policy, June 2014

Service

Program Committee Member, PrivaCI Conference, 2019

Program Committee Member, FAT*, 2018–19

Program Committee Member, http://www.mlandthelaw.org/Machine Learning and the Law, NIPS Symposium (Barcelona), December 2016

Co-Organizer, NYU/Princeton Conference on Mobile and Location Privacy: A Technology and Policy Dialog, NYU School of Law, April 2012

Other Writing

A New HUD Rule Would Effectively Encourage Discrimination by Algorithm, Slate (August 19, 2019)

The Legislation that Targets the Racist Impacts of Tech, New York Times (May 7, 2019) (with Margot Kaminski)

Accountable Algorithmic Futures: Building empirical research into the future of the Algorithmic Accountability Act, Data & Society: Points (April 19, 2019) (with Madeleine Elish & Mark Latonero)

Supreme Court Must Understand: Cell Phones Aren’t Optional, Wired (November 29, 2017) (with Julia Ticona)

FTC Report: Big Data Can Create Opportunities or Shut People Out, HL Chronicle of Data Protection (January 15, 2016)

Losing Out on Employment Because of Big Data Mining, N.Y. Times, Room for Debate (August 6, 2014) (with Solon Barocas)

FCC Tries to Revive Net Neutrality Without Rocking The Boat; Politically Weak Decision Could Prove Disastrous, Consumer L. & Pol’y Blog (February 20, 2014)

The D.C. Circuit’s Net Neutrality Decision Is Bad For Consumers, Consumer L. & Pol’y Blog (January 15, 2014)

Bar Admissions

New York
New Jersey
District of Columbia
U.S. Supreme Court
U.S. Court of Appeals for the Third Circuit