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.
SCPL is proud to host Stanford undergraduate students through the MS&E Diversity in Research Fellowship. Students participate in a quarter-long research project under the mentorship of SCPL.
Sharad Goel is an assistant professor at Stanford University, and the founder and faculty 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. He plays a variety of musical instruments, all of them badly.
Alex Chohlas-Wood is the executive director of the Stanford Computational Policy Lab. Alex has led the development of data-driven tools 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. His favorite color is gray.
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.
Madison is a data scientist in the Stanford Computational Policy Lab. Previously, she has worked as a Graduate Fellow in Data Science for the U.S. Federal Government. Madison is currently pursuing an M.S. in Computer Science from Stanford, where she also studied Management Science and Engineering and English literature. In her free time, she enjoys gardening, tending to her numerous houseplants, and reading.
Ro is an engineer in the Stanford Computational Policy Lab. Ro is interested in exploring technology and public policy interventions for issues affecting marginalized communities. Previously, she was a software engineer at Capital One. Ro has a B.A. from CUNY - Lehman College where she studied computer science. In her free time, she enjoys decorating cakes for fun, trying out new recipes, and reading science fiction.
Amelia Goodman is an engineer in the Stanford Computational Policy Lab. Previously, she was a software engineer at Apple. Amelia has a B.A. from the University of Pennsylvania, where she studied gender studies and computer science. She enjoys printmaking, particularly screen printing, and reading.
Nancy Mandujano is an engineer in the Stanford Computational Policy Lab. Prior to joining the lab, Nancy co-founded a NYC based company providing software engineering services to organizations committed to social justice. She earned her B.A. from Swarthmore College and is interested in anything she doesn't know. In her free time, you'll find her either trail running, biking, inoculating with culinary mushroom spores, or plunging headfirst into a curious new rabbit hole.
Joe Nudell is an engineer in the Stanford Computational Policy Lab. Joe frets about the immense power of information and technology, and is interested in how this power can be applied justly and equitably. Prior to joining the lab, Joe was a Software Engineer specializing in big data analytics and visualization at Dropbox. Joe received his A.B. and A.M. from the University of Chicago. In his free time, Joe is usually either picking a stringed instrument or out pedaling his bike Martha.
Sabina is a postdoc in the Stanford Computational Policy Lab with a background in machine learning for societally-relevant areas including: computational sustainability, education, malicious behavior and mobile health. Most recently she has worked on the problem of how to rapidly personalize text-based treatment policies in limited data settings.
Keniel is a data scientist in the Stanford Computational Policy Lab. He's interested in leveraging computational and statistical tools to improve public policy. Previously, Keniel received his B.S. in Statistics from Yale University. In his free time, he enjoys exploring the outdoors, baking and learning to play the guitar.
William Cai is a Ph.D. student in MS&E studying Computational Social Science at Stanford. His research interests are applying computational tools and data to understand and improve social systems. Previously he received a B.S. in computer science from Yale University and spent a year working as a research assistant at Microsoft Research NYC. In his spare time he enjoys exercising, listening to weird music, and playing board games.
Ruben Cuevas is an undergraduate studying Computer Science. Previously, he has interned at the National Institutes of Health as a Civic Digital Fellow, and he is involved with the Stanford Technology Law Review and the Public Interest Tech Lab. Ruben enjoys discovering new music and training for triathlons in his free time.
Feona Dong is an undergraduate majoring in Public Policy and minoring in Data Science and Computer Science. Since arriving at Stanford, Feona has discovered a love for data science and now hopes to pursue a career in policy analysis that centers the needs of marginalized communities. Importantly, Feona also loves to consume and create baked goods.
Alanna Flores is an undergraduate student studying Computer Science and Human Rights. While at Stanford, she has interned for the Stanford Social Innovation Review, run The Stanford Daily’s lifestyle section, and researched public-private partnerships for Governor Newsom’s nonprofit initiatives. Alanna enjoys backpacking and listening to 70s music.
Johann Gaebler is a Ph.D. student at Stanford's Institute for Computational and Mathematical Engineering (ICME). Johann is broadly interested in the development and application of data science tools to complex social problems, such as mass incarceration, hiring discrimination, and other issues at the intersection of statistics, computer science, and policy. Previously, Johann worked at the ACLU and received an M.Sc. in the History of Science from Oxford University, and an A.B. in mathematics from Harvard University. In his free time, Johann likes to backpack, play the guitar, and learn new languages.
Sajel Galhotra is a junior majoring in Mathematical and Computational Science and minoring in Ethics and Technology. Her research interests lie in using computational methods to address inequalities in policy. In her free time, she enjoys doing puzzles, listening to music, and hiking.
Taylore Givens is a sophomore undergraduate pursuing an engineering degree and computer science minor. Her passion areas include CS, policy, and environmentalism. She is an executive member of Stanford’s Public Interest Technology Lab and has done environmentalism and technology work with Conservation X Labs. She is excited to learn about the interdisciplinary policy, data science, and software engineering work from the Computational Policy Lab. Taylore has a boston terrier dog and enjoys singing, painting, and dancing in her spare time.
Julia Kadie is a junior majoring in Computer Science. She is fascinated by the intersection of technology, ethics, and social good. She seeks to use computational methods to understand and address issues related to education and policy. She is the president of Stanford’s Society of Women Engineers and enjoys mentoring first-generation aspiring college students with the organization Matriculate. In her free time she enjoys swimming, playing tennis, and hosting elaborate picnics.
Allison Koenecke is a Ph.D. candidate at Stanford’s Institute for Computational and Mathematical Engineering (ICME). Her research spans machine learning and causal inference projects, primarily with applications to public health. She received her Bachelor’s in Mathematics with Computer Science from MIT, and previously worked in the Antitrust and Competition group at NERA Economic Consulting. In her free time, she enjoys music, travel, and thinking of schemes to get on Planet Money.
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.
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.
Connor is a Stanford undergraduate studying Symbolic Systems. Before deciding on Symbolic Systems, he thought he would major in Public Policy, so he's excited to work on projects that combine these varying interests. He spends far too much of his free time on Instagram and Twitter, but he also loves food, travel, and enjoying California's sunny weather.
Alissa Vuillier is an undergraduate studying Computer Science and Political Science. Since coming to Stanford, she has been immersed in the intersection of tech and social good—creating a web application to match domestic violence survivors seeking civil compensation with lawyers willing to work pro-bono, working for Stanford's Poverty and Technology Lab and the nonprofit Build Change, and being involved with the Public Interest Tech Lab and CS + Social Good. In her free time, Alissa loves making Spotify playlists and learning 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.