Camelia Simoiu, ASA
PhD Candidate

Computational Social Science
Stanford University

email: csimoiu [at] stanford [dot] edu

Curriculum Vitae





About

My research focuses on assessing bias in human decision-making using machine learning, statistics, and
online experiments. Focus areas are cyber security and criminal justice. I am advised by Professor Sharad Goel.

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 biking California's back roads and try to climb as many mountains as possible.



Research

At risk of ransomware: A behavioral analysis of web browsing habits. [Work in progress]
Camelia Simoiu, Joseph Bonneau, Sharad Goel

The effects of social influence on collective intelligence [under review]
Camelia Simoiu, Chiraag Sumanth, Alok Mysore, Sharad Goel
slides

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

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.

Investing 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



In the News

10/17 Stanford News. A Stanford-led platform for crowdsourced research gives experience to global participants
08/17 The Daily Show. A Stanford University study uncovers racial disparity in routine traffic stops
06/17 The Economist. Measuring racial bias in police forces
06/17 NBC News. Police searches drop dramatically in states that legalized marijuana
06/17 The Daily Mail. Police officers are more likely to cite black or Latino drivers than whites during traffic stops

08/16 Vox. Study: police officers have lower standards for searching black people than white people
06/16 Stanford News. Stanford researchers develop new statistical test that shows racial profiling in police traffic stops
02/16 Stanford Traffic Stops Database Will Let Public Analyze Racial Profiling
02/16 Engineers battle bias in the criminal justice system
02/16 Stanford engineers' 'Law, Order & Algorithms' data project aims to identify bias in the criminal justice system

07/13 New Data Project Seeks to Raise Investor Confidence in Energy Efficiency



News
05/2018 Invited talk at Electronic Frontier Foundation, San Francisco
04/2018 Leading the "Cybersecurity and Human behavior" meetup at the RSA Conference.
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