Anish Ganga

Anish Ganga

UC Berkeley · Data Science · Public Policy

Hi! I'm Anish and I am a junior at UC Berkeley. I am passionate about the intersection of technology and society, particularly through social systems.

Research

AI Policy and Governance Lab
Undergraduate Research Assistant · Professor David Evan Harris
UC Berkeley Haas School of Business
Public Purpose of Venture Capital
Undergraduate Research Assistant · Professor Manisha Padi
UC Berkeley School of Law
Black Foundations in Education
Undergraduate Research Assistant · PhD Candidate Jeremy Martin
UC Berkeley School of Education

Industry

JusticeText
Product Research Intern

Extracurriculars

ASUC Student Legal Clinic
Co-Director
UC Berkeley Human Rights Center
Student Researcher

Fellowships

True Ventures
Fellow
Youth for Privacy
Fellow
Roosevelt Network
Forge Fellow

Education

University of California, Berkeley
B.A. Data Science · Minor in Public Policy

Coursework

Technical

  • Probability for Data Science
  • Numerical Analysis for Data Science and Statistics
  • Data Engineering
  • Discrete Mathematics
  • Data Mining and Analytics
  • Principles and Techniques of Data Science
  • Data Structures
  • Algorithms, Ethics, and Public Policy
  • Computational Structures in Data Science
  • Linear Algebra
  • Foundations of Data Science
  • Introduction to Probability and Statistics
  • Multivariable Calculus

Policy & Society

  • Progress? An Introduction to Technology and Public Policy
  • Game Changer? An Introduction to A.I. and Public Policy
  • The Final Frontier? Space Technology and National Security Policy
  • Capital and the Question of Technology
  • Introduction to Public Policy Analysis

Publications & Projects

Publications

Employees Satisfaction in Different Industries: An Exploratory Review of the Literature
Anish Ganga
International Journal of Economics and Management Systems

Projects

Enhancing Human Verification Systems to Address AI Agent Circumvention and Attributability Concerns
Yogev Angelovici, Anish Ganga, Saathvik Kannan, Zihao Zhou
AI Policy Hackathon at Johns Hopkins University