People

Lecturer

Visualization and HCI

Lecturer

Natural Language Processing (NLP), Information Extraction, Computational Social Science

Lecturer

Sociology of knowledge, history of scholarship, social network analysis, computational text analysis, R programming.

Alumni (MIMS 2006)
Assistant Professor of Practice

305B South Hall
Science and technology studies; computer-supported cooperative work and social computing; education; anthropology; youth technocultures; ideology and inequity; critical data science

Alumni (PhD 2010)
Lecturer
Alumni (MIMS 2006)

I'm a design, research, and product leader and iSchool PhD grad. Ex-Airbnb, Ex-Meta, experienced manager, leader of orgs from 5-200+.

Assistant Professor of Practice

Predictive medicine; artificial intelligence; machine learning; tele-health; information disclosure; privacy; security.

Continuing Lecturer
Alumni (MIMS 2013)

Online communities, Software engineering, engineering management, user interface design, systems design

Alumni (MIDS 2017)
Lecturer

Life sciences, Product Development, Data Science and AI Enterprise Strategy

Associate Professor

312 South Hall
Natural language processing, computational social science, machine learning, digital humanities

Lecturer
Citizen Clinic Director

The Intersection of Tech and Liberation

Lecturer

Info visualization, Habermas and Critical Theory, systems analysis

Continuing Lecturer

Focused on machine learning, social network analysis, and recommender systems

Alumni (PhD 2012)
Associate Professor

207C South Hall

Lecturer

Human and Computer Vision, Computer Graphics, Machine Learning

Lecturer

Data Science & Data Vis | ML & AI | Causal Inference | Educator | Author & Speaker | Public Service

Professor Emeritus

5 South Hall
Information, culture, and society. Library services. Bibliography and discovery. History and theory of documentation.

Lecturer

Practical Applications of Natural Language Processing

Alumni (MIDS 2019)
Lecturer

I School Virtual Campus (Berkeley, CA)
Machine learning model design, development and operations | Linear optimization | Scaling ML pipelines(Spark ecosystem) | Model development life cycle and methodology | Quantitative model performance, soundness and evidence (Model Risk Management) | Responsible AI suite evaluation and adoption | ML agile execution

Dean, College of Computing, Data Science, and Society; Professor (EECS, Mathematics, Statistics, and Information)