Camelia Simoiu, ASA
PhD Candidate

Management Science & Engineering Department
Stanford University

email: csimoiu [at] stanford [dot] edu

Curriculum Vitae


My research interests are in developing novel statistical methods to evaluate and design effective public policy
in the areas of cyber security and criminal justice. I draw on techniques from machine learning, Bayesian analysis,
online experiment design, and social network analysis. 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.


Cyber Security

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

Connectedness in Cyber Risk, Global Cyber Risk Quantification Network, 2017. [Forthcoming]
World Economic Forum Workshop report

Criminal Justice

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

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.
Stanford Open Policing project | data | code | news

Collective Intelligence

The effects of social influence on collective intelligence [Work in progress]
Camelia Simoiu, Chiraag Sumanth, Alok Mysore, Sharad Goel

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, Vikas S. Yaligar, Imanol Arrieta Ibarra, 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

04/18 Invited talk at Santa Clara University's AI for social impact speaker series
02/18 Joining the RSAC Security Scholar Program Committee. Excited to be working with a fantastic group!
01/18 Co-organizing Stanford's new Behavioral security seminar!
12/17 Excited for StanCon2018! Come hear our talk on the threshold test -- a novel approach to asses bias in decision making.
10/17 Invited talk at CODE (Conference On Digital Experimentation) on collective intelligence.
08/17 Excited to be joining Symantec this summer for a research internship.
07/17 Our paper on crowd research won a Best paper honorable mention award at UIST.
07/17 Leading a data science workshop at IRE 2017 Investigative Reporters and Editors Conference
05/17 Invited to attend the GREPSEC III Workshop on computer security research.
05/17 Invited talk at the World Economic Forum's Cyber Risk Quantification Workshop (May 11-12, 2017)
11/16 New blog post on Bayesian statistics: A bag of tips and tricks for dealing with scale issues with Jim Savage
11/16 Invited talk at TEDxBeaconStreet Conference
09/16 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
09/16 Awarded ACCEL Fellowship, courtesy of the MS&E Department, Stanford
08/16 Our paper "Testing for Racial Discrimination in Police Searches of Motor Vehicles" voted most interesting papers on arXiv (week 08/06)
08/16 Invited talk at JSM 2016 on the threshold test
07/16 Invited talk at CSS 2016 on the threshold test (Security and Crime section)
03/16 Awarded ACCEL Fellowship, courtesy of the MS&E Department, Stanford
02/16 Selected as one of RSA Scholars. Thank you RSA!
06/15 Winner of the Knight News Challenge on our project Law, Order & Algorithms. With Sharad Goel, Sam Corbett-Davies, and Vignesh Ramachandran
11/15 Invited poster with oral presentation at ACM UIST 2015 on collective intelligence
02/15 Serving as local chair for COSN 2015
02/15 Excited to lead the data science team of the Aspiring Researcher Challenge along with Sharad Goel, Rajan Vaish, and Imanol Arrieta Ibarra