We are an interdisciplinary team of academic researchers, data scientists, and journalists who combine the power of rigorous statistical analysis with rich visual narratives to drive social impact. We span a wide range of disciplines across the University, including Engineering, Humanities and Sciences, and Law.
Sharad Goel is an Assistant Professor at Stanford University, and Executive Director of the Stanford Computational Policy Lab. In his research, Sharad looks at public policy through the lens of computer science, bringing a new, computational perspective to a diverse range of contemporary social issues. Before joining the Stanford faculty, Sharad completed a Ph.D. in Applied Mathematics at Cornell University, and worked as a Senior Researcher at Microsoft in New York City.
Phoebe Leila Barghouty
Phoebe Leila Barghouty is a journalist and filmmaker based in New York City. Her work focuses on human rights issues and national security. She has written and produced for Slate, The Outline, National Geographic, VICE News and several international outlets. She holds a Master's in Journalism from Stanford University. Her favorite hobby is filing FOIA requests.
Alex Chohlas-Wood is the Deputy Director of the Stanford Computational Policy Lab. Alex has led the development of data-driven tools at Fortune 500 companies and large public agencies, focusing on interventions that improve public safety and compliance. He has worked in both the private and public sector, including as the Director of Analytics for the New York Police Department (NYPD). Alex holds an M.S. from New York University and a B.A. from Carleton College, and “graduated with honors” from Tom Sachs Studio in New York City.
Elan Dagenais divides her time between the Stanford Computational Policy Lab and the Stanford Law School Policy Lab. She studied Mathematics and Economics at the University of Alberta, before receiving her J.D. from Stanford Law School, and her Ph.D. in Economics from Stanford University. In her free time she plays the violin, and is learning to play the viola da gamba.
Daniel Jenson is an engineer in the Stanford Computational Policy Lab. Previously, he spent five years at Facebook working on risk analytics and machine learning automation. He is currently pursuing an M.A. in Computer Science with a Specialization in Machine Learning through the Georgia Institute of Technology.
Joe Nudell is an engineer in the Stanford Computational Policy Lab. Before joining the lab, he worked as a Software Engineer specializing in data visualization and big data analytics applications, most recently on the analytics team at Dropbox. Joe holds a B.A. and an M.A. from the University of Chicago. In his spare time, Joe likes to ski off cliffs, play music, and make pizza.
Susan Salkind is a CodeX Fellow at Stanford University, and works at the intersection of innovation and regulation. She collaborates with a diverse set of partners to improve the quality, efficiency, and accessibility of the legal system. Her interests include defining standards for computational law technologies, and facilitating adoption of computer-based legal services to improve citizen access and engagement.
Amy Shoemaker is a data scientist in the Stanford Computational Policy Lab. She is thrilled to be on a team using mathematical tools to understand, raise awareness about, and work to change systemic inequities. Amy received her B.S. in Pure Mathematics from Pomona College and her M.S. from Stanford University’s Institute for Computational and Mathematical Engineering. She loves getting outdoors (when it’s sunny) to rock climb, waterski, backpack, picnic, or just take stroll around the block; on a good day, she’s always equipped with tea and a book, usually of fiction, poetry, or philosophy.
Marissa Gerchick is a Stanford undergraduate studying Mathematical and Computational Science and Political Science. Marissa enjoys creative writing and playing soccer and lacrosse.
Jongbin Jung is a Ph.D. candidate in Computational Social Science and Decision Analysis at Stanford University. He is primarily interested in using quantitative methods and data analytics to help improve and evaluate human decisions. Jongbin studied operations research (M.S.) and business administration (B.B.A.) at Yonsei University (Seoul, South Korea), and is also a published composer of sorts.
Emily Lemmerman is a Stanford undergrad studying Sociology with a minor in Data Science. Her previous experiences are in studying about and volunteering in the criminal justice system, and she is excited to do empirical work around issues related to criminal and racial justice. In her spare time, Emily reads the NorCal French Bulldog Rescue website and dreams of the day she finally adopts her own.
Zhiyuan “Jerry” Lin
Zhiyuan “Jerry” Lin is a Ph.D. candidate in Computer Science at Stanford University. Jerry's research interests broadly lie in data science and mining, computational social science, data visualization, and human-computer interaction. He leverages quantitative methods and synthesizes interactive tools to understand large datasets and help human decision making. Jerry received his B.S. in computer science from Georgia Institute of Technology. Jerry is also a semi-retired video gamer and huge noodle lover.
Samantha Robertson is an undergraduate at Stanford studying Mathematical and Computational Science. She is interested in applications of data science to human-centered problems, and has previously worked on software for computational biology research. She is excited to explore computational social science in the Stanford Computational Policy Lab.
Hao Sheng is a Ph.D. candidate in Computational and Mathematical Engineering at Stanford University. Hao’s research interests includes natural language processing and applying cutting edge machine learning/deep learning/artificial intelligence techniques to manufacturing, finance and social science. Hao received his B.Econ in Politics, Philosophy and Economics (P.P.E.) and B.S. in math from Peking University. Hao likes to check out secret corners of cities and is a not-serious video gamer.
Camelia Simoiu is a Ph.D. candidate in Computational Social Science at Stanford University. Her research focuses on assessing bias in human decision-making using machine learning, statistics, and online experiments. Focus areas are criminal justice and cyber security. Camelia has a background in artificial intelligence (M.S., University of Amsterdam) and applied statistics (B.S., University of Toronto). Outside of work, she tries to play outside as much as possible, preferably at high altitudes.
Colleen Chien is a Professor at Santa Clara University School of Law where she teaches, researches, and applies empirical methods to law and policy problems, primarily in patents and innovation. From 2013-2015 she served in the Obama White House as Senior Advisor, Intellectual Property and Innovation. Her projects at the Computational Policy Lab pertain to diversity and criminal justice reform (second chances). She’s a proud resident of Oakland, where she lives with her husband Dirk and their two sons and hosts family salons.
Johann Gaebler is an M.Sc. candidate at the University of Oxford in the History of Science. He's interested in the intersection of mathematics and civics through a variety of lenses, including criminal justice, racial bias, election fairness, and history. Previously, Johann worked at the ACLU and received his A.B. in mathematics from Harvard University. In his free time, Johann likes to backpack, play the guitar, and learn new languages.
Cheryl Phillips teaches data journalism at Stanford University and co-founded the Stanford Open Policing Project in 2017. She worked at The Seattle Times from 2002-14, focusing on data and investigations. In Seattle, she twice worked on breaking news stories which received a Pulitzer and was twice on teams that were Pulitzer finalists. She has worked at USA Today, and at newspapers in Michigan, Montana and Texas. She is a former board president of Investigative Reporters and Editors. She is married to Catherine and in their free time, they try to keep up with with their twin sons.
Ravi Shroff is an Assistant Professor of Applied Statistics and Urban Informatics at New York University's Steinhardt School and Center for Urban Science and Progress (CUSP). His research involves the development and application of statistical and computational methods to issues in criminal justice and child welfare. Ravi studied mathematics at UC San Diego (M.S. and Ph.D.) and applied urban science and informatics at CUSP (M.S.), and mathematics and economics at the University of Washington (B.S.). In his free time, Ravi enjoys cooking and Brazilian Jiu-Jitsu.