Virtual Grace Hopper Celebration of Women in Computing
The Grace Hopper Celebration of Women in Computing is the world's largest gathering of women technologists. It is produced by the Anita Borg Institute and presented in partnership with ACM.
Admissions staff and the below I School faculty and students will be available at different times throughout the conference with more information about the I School’s degree programs.
Assistant Adjunct Professor Morgan Ames teaches DATA SCI W231: Behind the Data: Humans and Values. Her research includes the ideological origins of inequality in the technology world, with a focus on utopianism, childhood, and learning. She is also associate director of research for the Center for Science, Technology, Medicine and Society (CSTMS) at UC Berkeley, where she teaches Data Science and administers the Designated Emphasis in Science and Technology Studies.
Adjunct Professor Paul Duguid teaches Info 295: Doctoral Colloquium and Info 375: Teaching Assistance Practicum. His research area includes information and authenticity. He focuses on the concept of information, the history of information, the history of ''technology," and critical information studies.
Lecturer Maritza Johnson teaches Cybersecurity W215: Usable Privacy ad Security. Her research area includes human-computer interaction, privacy, security, and user experience research. Her research focuses on helping people better understand the privacy and security decisions they encounter in their daily lives.
Professor D.Alex Hughes teaches DATA SCI W241/Info 290: Experiments and Causal Inference and DATA SCI W203: Statistics for Data Science. His research area includes experiments and causal identification, social networks, political behavior, and outcomes. His research explores how group identity shapes political access and how social connections shape political behavior.
Associate Professor Deirdre Mulligan teaches Info 188: Behind the Data: Humans and Values. Her research area includes information policy, law, privacy, and security. Her research explores legal and technical means of protecting values such as privacy, freedom of expression, and fairness in emerging technical systems.
Assistant Adjunct Professor Michael Rivera teaches DATA SCI W201: Research Design and Applications for Data and Analysis. His research area include immigration policy, political representation, race & ethnic politics, and American voter behavior. He is especially interested in how campaigns and non-partisan groups can use data science to increase turnout among minority and low propensity voters.
MIMS Students, and Focus Areas
Kailin Koch, MIMS ’22, applied data science.
Coco Wang, MIMS ’21, data analytics and business analytics
Manasi Khanuja, MIMS ’21, data analytics and product management.
Youtung Zhao, MIMS ’21, human-computer interaction, virtual reality, software engineering.
Brinda Guruswamy, MIMS ’21, software development, data science, machine learning.
Jyen Yiee Wong, MIMS ’21, human-computer interaction, and UX design.
Mandy Leung, MIMS ’21, UX research.
Vivian Omondi, MIMS ’22, product management.
Elaine Kim, MIMS'2, UX, product design
Merry Li, MIMS'22, project management.
Helen Li, MIMS ’22, UX research and design.
MIDS Students, and Focus Areas
Maria Auslander, MIDS ’20, Product Manager at LeanTaas.
Hannah Choi, MIDS ’21, applied machine learning, and data science.
Julia Lai, MIDS ’21, data science.
Angela Gao, MIDS ’21, methods to derive more tangible insights from large-scale data.
Shalini Kunapuli, MIDS ’21, data science, data analytics, machine learning, predictive models.
Christina Carr, MIDS'21, cognitive science, and data science.
Swetha Pola, MIDS'21, data science
MICS Students
Prescilla Lam, MICS, Software Engineer at IdeaFlow.
Bex Kemp, MICS, privacy, security, & human rights
Jennifer Mvongo, MICS, cybersecurity, software management.
