Emma Pierson Division of Computer Science (EECS) data science, machine learning, inequality, Healthcare
Björn Hartmann Division of Computer Science (EECS) human-computer interaction, user interfaces, end-user programming, design tools, prototyping, crowdsourcing, multitouch, sensing
Eric Paulos Division of Computer Science (EECS) human-computer interaction, new media arts, digital fabrication, epidermal and wearable electronics
Xiudi Li School of Public Health causal inference, data integration, federated learning and transfer learning, electronic health records, clinical trials, High Dimensional Data Analysis
Yumi Kim Dept of History Japan, Korea, women's studies, gender studies, medicine, religion, colonialism, Asian diaspora
Homayoon Kazerooni Dept of Mechanical Engineering robotics, bioengineering, design, control systems, mechatronics, human-machine systems, exoskeleton systems
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Stefan-Ludwig Hoffmann Dept of History Modern German and European History, Human Rights and Internationalism, global urban history, critical theory
Manuela Girotto Dept of Environmental Science, Policy & Management hydrologic response, natural and human driven processes, remote sensing, sea level change, snow hydrology
David Whitney Dept of Psychology cognitive neuroscience, cognition, attention, visual perception, vision, visually guided action, human factors
Jennifer Anne LaFleur School of Journalism Data journalism, investigative journalism, disability, inequality, criminal justice
Sung-Hou Kim Dept of Chemistry computational genomics, Genomic susceptibility of common diseases, Genomic Tree of Life, Demography of human genome diversity
Hannah Zeavin Dept of History history of human sciences, history of technology and media, feminist science and technology studies, media theory
Benjamin Recht Division of Computer Science (EECS) machine learning, data science, artificial intelligence
Ian Duncan Dept of English English, the novel, British literature 1750-1900, Scottish literature, history and theory of fiction, Scottish enlightenment/romanticism, Scott, literature and the human sciences, Darwin
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Leif Nelson Haas School of Business consumer well being, consumer preferences and choices, human judgement, decision-making, consumption experience
Elizabeth Purdom Dept of Statistics computational biology, bioinformatics, statistics, data analysis, sequencing, cancer genomics
Justin Davidson Dept of Spanish and Portuguese Spanish linguistics, romance linguistics, contact linguistics, bilingualism, Catalan, sociophonetics, language variation and change, quantitative methods
Kim Shelton Dept of Ancient Greek & Roman Studies ceramics, classical civilization and archaeology, Aegean prehistory, religion/mythology
Lexin Li School of Public Health neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference
Mark van der Laan Dept of Statistics School of Public Health targeted learning, real-world data integration in RCTs, sequential adaptive designs, computational biology and genomics, censored data and survival analysis, medical research, inference in longitudinal studies
Ali Kakhbod Haas School of Business financial economics, liquidity, market microstructure, big data, contracts
Ula Y. Taylor Dept of African American Studies 20th century African American history, African American women's history, Black feminist theory, black nationalism