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▪ Launched How Tech Becomes Law, a public interest tech podcast about tech, public policy, and career advice▪ Published research on algorithmic discrimination on Facebook's ad platform, the accessibility problems of many voter registration websites, and more▪ Coordinated with leading U.S. civil rights groups such as the Leadership Conference on Civil and Human Rights and Asian Americans Advancing Justice to address algorithmic discrimination problems▪ Supported the fundraising of $3 million multi-year grant from the Ford Foundation to establish the Public Interest Tech Lab

How Tech Becomes Law is a public interest tech podcast about tech, public policy, and career advice. In each episode, the co-hosts Dr. Jinyan Zang and Dhruv Gupta uncover insights from leaders in government, business, journalism, and academia to highlight how technology can be built in the public interest. Interviewees discuss how technology can move society forward, what role they play in shaping this, and how students and young professionals can impact the path forward. To learn more, go to https://www.howtechbecomeslaw.org/

▪ Developed TraceFi, an innovative Wi-Fi based digital contact tracing technology, for potential application at Harvard in response to the COVID-19 pandemic▪ Led the 10-person TraceFi team at the Data Privacy Lab and coordinated regularly with HUIT, HUHS, and Harvard University leadership▪ Succeeded in helping grow the Technology Science Program in the Government department, established in 2018, to enroll 17 undergraduate students by Spring 2021▪ Supervised more than 50 summer interns over 6 summers on individualized research projects at the Data Privacy LabPublished Research▪ Identifying how websites for 35 states and DC in 2016 were vulnerable to voter identity theft attacks: an imposter could submit changes to voter registration information

▪ GOV 1430 Data Science to Save the World (Prof. Latanya Sweeney) – Teaching Fellow – 5 semesters: Taught 40 undergrads each semester in a hybrid lecture and data lab class and advised over 100 final projects using data science techniques to study the impact of digital technologies on different technology-society conflicts (e.g. sharing economy, algorithmic discrimination, privacy, fake news, etc.)▪ GOV 1433 Tech Science: From Democracy to Technocracy and Back (Prof. Latanya Sweeney) – Teaching Fellow – 2 semesters: Taught 20 undergrads each semester in a hybrid lecture and discussion class on historical examples of technology-society conflicts (e.g. biosurveillance & Total Information Awareness project, HIPAA, algorithmic discrimination, fake news, etc.)▪ GOV 93B Technology Science Practicum (Prof. Latanya Sweeney) – Teaching Fellow – 2 semesters: Advised 15 undergrads on a research workshop course on technology-society conflicts▪ Senior Thesis (Government Department) – Adviser – 4 semesters: Advised 3 undergraduate Senior Theses including Dhruv Gupta's senior thesis on bike-sharing which received Harvard's Hoopes Prize and was an Honorable Mention Finalist for the Harvard's John Dunlop Undergraduate Thesis Prize in Business and Government

Managing Editor of Technology Science, an open access, peer reviewed, online publication by Harvard University of research on the unforeseen consequences of technology on society▪ Managed the review process of over 50 scientific papers on the impact of technology on society to add rigor to the research methodology and to improve the clarity of the results presented▪ Designed and promoted Technology Science’s website and social media profiles to attract over 1,000,000 views and press coverage from major publications including Time, Washington Post, Forbes, BBC, and more▪ Moderated and organized multiple roundtable author presentations and discussions after publishing each issue of the journalResearch project▪ Published paper on data-sharing from popular iOS and Android mobile apps using man-in-the-middle tracking in Technology Science which received 300,000 views and press coverage by the BBC, Boston Globe, and over 20 global outlets

▪ Led engineering team as the Product Manager to develop and deploy Excel and PowerPoint productivity tools across Oliver Wyman globally to 4,000 employees▪ Developed a demand and revenue management model in R and SQL to calculate the profitability of 500,000 award seats over 12 months to improve the loyalty program strategy for a top Latin-American airline▪ Built a model to analyze the impact of fee-for-value reforms on a $20 B drug portfolio for a top 5 pharma▪ Identified key trends and case studies in media and technology that drove a $3 B internal reorganization at a major US film studio

▪ Advised the Chief Technology Officer on FTC’s technology research agenda and promising digital research and investigation tools▪ Presented findings on algorithmic discrimination at FTC Big Data conference on 9/15/14 ▪ Analyzed demographic targeting of credit card ads online with data on 10,000 ads shown on 100,000 sites ▪ Researched mobile app privacy practices for 110 iOS and Android apps with man-in-the-middle software