Sharad Goel
Assistant Professor of Management Science and Engineering and, by courtesy, of Computer Science, of Sociology and of Law
Web page: http://5harad.com
Bio
Sharad's primary area of research is computational social science, an emerging discipline at the intersection of computer science, statistics, and the social sciences. He's particularly interested in applying modern computational and statistical techniques to study social and political policies, such as stop-and-frisk, swing voting, filter bubbles, do-not-track, and media bias. Before joining Stanford, Sharad was a senior researcher at Microsoft Research and Yahoo Labs.
Academic Appointments
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Assistant Professor, Management Science and Engineering
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Assistant Professor (By courtesy), Sociology
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Assistant Professor (By courtesy), Computer Science
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Assistant Professor (By courtesy), Stanford Law School
Program Affiliations
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Public Policy
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Symbolic Systems Program
Professional Education
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PhD, Cornell University, Applied Mathematics (2005)
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MS, Cornell University, Computer Science (2003)
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BS, University of Chicago, Mathematics (1999)
2020-21 Courses
- Introduction to Applied Statistics
MS&E 125 (Win) - Law, Order & Algorithms
LAW 2023 (Spr) - Law, Order, & Algorithms
CS 209, CSRE 230, MS&E 330, SOC 279 (Spr) - Senior Project
MS&E 108 (Win) -
Independent Studies (19)
- Advanced Reading and Research
CS 499 (Aut, Win, Spr) - Advanced Reading and Research
CS 499P (Aut, Win, Spr, Sum) - Capstone Project: Human Rights Minor
HUMRTS 199 (Win, Spr) - Computer Laboratory
CS 393 (Spr, Sum) - Curricular Practical Training
CS 390A (Aut, Win, Spr, Sum) - Curricular Practical Training
CS 390B (Win, Spr, Sum) - Curricular Practical Training
CS 390C (Spr, Sum) - Directed Reading and Research
MS&E 408 (Aut, Win, Spr, Sum) - Independent Database Project
CS 395 (Spr, Sum) - Independent Project
CS 399 (Aut, Spr) - Independent Project
CS 399P (Spr, Sum) - Independent Work
CS 199 (Spr, Sum) - Independent Work
CS 199P (Spr, Sum) - Part-time Curricular Practical Training
CS 390D (Aut, Win) - Ph.D. Research
CME 400 (Aut, Win, Spr, Sum) - Programming Service Project
CS 192 (Spr, Sum) - Senior Project
CS 191 (Aut, Win, Spr, Sum) - Supervised Undergraduate Research
CS 195 (Spr, Sum) - Writing Intensive Senior Project (WIM)
CS 191W (Spr)
- Advanced Reading and Research
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Prior Year Courses
2019-20 Courses
- Introduction to Applied Statistics
MS&E 125 (Win) - Introduction to Computational Social Science
MS&E 231, SOC 278 (Aut)
2018-19 Courses
- Introduction to Applied Statistics
MS&E 125 (Win) - Law, Bias, & Algorithms
CSRE 230, MS&E 330, SOC 279 (Spr)
2017-18 Courses
- Introduction to Applied Statistics
MS&E 125 (Win) - Introduction to Computational Social Science
MS&E 231, SOC 278 (Aut) - Law, Order & Algorithms
CSRE 230 (Spr) - Law, Order & Algorithms
LAW 2023 (Spr) - Law, Order & Algorithms
MS&E 330, SOC 279 (Spr)
- Introduction to Applied Statistics
Stanford Advisees
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Doctoral Dissertation Reader (AC)
Lodewijk Gelauff, Stephen Pfohl -
Postdoctoral Faculty Sponsor
Sabina Tomkins -
Doctoral Dissertation Advisor (AC)
Zhiyuan Jerry Lin -
Master's Program Advisor
Federico Derby Elizondo, Grant Fisher, Qianmin Hu, Mansi Jain, Dan Jenson, Youngjun Kwak, Eunji Lee, Ruoyun Ma, Nikita Namjoshi, Abuzar Royesh, Mohammadhossein Shafinia, Michal Skreta -
Doctoral Dissertation Co-Advisor (AC)
Allison Koenecke, Hao Sheng -
Doctoral (Program)
William Cai, Alex Chohlas-Wood, Josh Grossman, Zhiyuan Jerry Lin, Ravi Sojitra