Camelia Simoiu, ASA
PhD Candidate

Computational Social Science
Stanford University

email: csimoiu [at] stanford [dot] edu

Curriculum Vitae


My research focuses on designing and evaluating algorithmic tools to aid human decision-making
in the areas of cyber security and criminal justice. I draw on methods from machine learning, statistics,
and online experiments. I am part of the Stanford Computational Policy Lab, advised by Professor Sharad Goel.
Our work has been featured in the The Economist, The Daily Show, NBC News, and Vox.

Previously, I was a Fellow of the University of Chicago's Data Science for Social Good program, and a visiting
researcher at the MIT Media Lab in the Human Dynamics group. I received a B.S. in applied statistics from the
University of Toronto and a M.S. in artificial intelligence from the University of Amsterdam. Outside of work,
I enjoy hiking, road biking on California's back roads, and diving.


"I was told to buy a software or lose my computer. I ignored it":A study of ransomware. Fifteenth Symposium on Usable Privacy and Security (SOUPS) 2019.
Camelia Simoiu, Christopher Gates, Joseph Bonneau, Sharad Goel.

A Large-Scale Study of the "Wisdom of the Crowds" [Working Paper]
Camelia Simoiu, Chiraag Sumanth, Alok Mysore, Sharad Goel
data | slides

A large-scale analysis of racial disparities in police stops across the United States [Working Paper]
Emma Pierson, Camelia Simoiu, Jan Overgoor, Sam Corbett-Davies, Vignesh Ramachandran, Cheryl Phillips, Sharad Goel.
Stanford Open Policing project | data | code | news

Quantifying Systemic Cyber Risk, Report on the "Connectedness in Cyber Risk" Workshop Global CRQ Network, 2018

The Problem of Infra-marginality in Outcome Tests for Discrimination. Annals of Applied Statistics, 2017.
Camelia Simoiu, Sam Corbett-Davies, Sharad Goel.
data | code | slides

Crowd Research: Open and Scalable University Laboratories. UIST 2017.
with Rajan Vaish, Michael Bernstein, Geza Kovacs, et. al.

Investigating the Wisdom of the Crowds at Scale UIST 2015
Alok Shankar Mysore, Camelia Simoiu, Sharad Goel, et al.

Understanding and Improving Energy Consumption in Commercial Buildings, Knowledge Discovery and Data Mining conference, 2013
Scott Alfeld, and Andrea Fernandez-Conde, Camelia Simoiu, poster with oral presentation

05/2019 Invited talk at WWW CyberSafety Workshop, San Francisco, CA
05/2019 Invited talk at Google (Apps UX Research), Sunnyvale, CA
03/2019 Reviewer for Debugging Machine Learning Models, ICLR 2019 workshop
02/2019 Reviewer for AI for Social Good, ICML 2019 Workshop
12/2018 Invited talk at CMStatistics, Pisa, Italy
12/2018 Excited to be participaing in the Data Science Study Group, Alan Turing Institute, London, UK
12/2018 Invited talk at the Stanford Computer Science Security Lunch
05/2018 Invited talk at the Electronic Frontier Foundation, San Francisco, CA
04/2018 Leading the "Cybersecurity and Human behavior" meetup at RSA, San Francisco, CA.
04/2018 Invited talk at Santa Clara University's AI for social impact speaker series
02/2018 Joining the RSAC Security Scholar Program Committee. Excited to be working with a fantastic group!
01/2018 Co-organizing Stanford's new Behavioral security seminar!
12/2017 Excited for StanCon2018! Come hear our talk on the threshold test -- a novel approach to asses bias in decision making.
10/2017 Invited talk at CODE (Conference On Digital Experimentation) on collective intelligence.
07/2017 Excited to be joining Symantec this summer for a research internship.
07/2017 Our paper on crowd research won a Best paper honorable mention award at UIST.
07/2017 Leading a data science workshop at IRE 2017 Investigative Reporters and Editors Conference
05/2017 Invited to attend the GREPSEC III Workshop on computer security research.
05/2017 Invited talk at the World Economic Forum's Cyber Risk Quantification Workshop (May 11-12, 2017)
11/2016 New blog post on Bayesian statistics: A bag of tips and tricks for dealing with scale issues with Jim Savage
11/2016 Invited talk at TEDxBeaconStreet Conference
09/2016 Our paper "A large-scale analysis of racial disparities in police stops across the United States" accepted for presentation at the Computation + Journalism 2016 Conference at Stanford
09/2016 Awarded ACCEL Fellowship, courtesy of the MS&E Department, Stanford
08/2016 Our paper "Testing for Racial Discrimination in Police Searches of Motor Vehicles" voted most interesting papers on arXiv (week 08/06)
08/2016 Invited talk at JSM 2016 on the threshold test
07/2016 Invited talk at CSS 2016 on the threshold test (Security and Crime section)
03/2016 Awarded ACCEL Fellowship, courtesy of the MS&E Department, Stanford
02/2016 Selected as one of RSA Scholars. Thank you RSA!
06/2015 Winner of the Knight News Challenge on our project Law, Order & Algorithms. With Sharad Goel, Sam Corbett-Davies, and Vignesh Ramachandran
11/2015 Invited poster with oral presentation at ACM UIST 2015 on collective intelligence
02/2015 Serving as local chair for COSN 2015
02/2015 Excited to lead the data science team of the Aspiring Researcher Challenge along with Sharad Goel, Rajan Vaish, and Imanol Arrieta Ibarra