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Research Expertise and Interest

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Name

Department

designed learning environments, Cultural dimensions of learning, language and literacy learning for dual language learners, biliteracy, new media literacies, the social organization of learning, ethnographic methodology and qualitative approaches to inquiry, design experiment/social design experiments, education of Latino, immigrant, migrant youth, urban education, teacher learning, educational and language policy

Anne E. Cunningham

School of Education

education, literacy, reading development, children and technology, teacher professional development

Rhona S. Weinstein

Dept of Psychology

community psychology, educational inequality and the achievement gap, teacher expectations and self-fulfilling prophecies, classroom and school reform

Keynote Address Region Nine Head Start Association Family Engagement and Cultural Effectiveness Conference, Kona, HI.

Travis J. Bristol

Dept of African American Studies

School of Education

race and gender, urban schooling, organizational contexts of teachers' work, educational equity, African American students in schools

Peter Bartlett

Dept of Statistics

Division of Computer Science (EECS)

machine learning, statistical learning theory, adaptive control

Pieter Abbeel

Division of Computer Science (EECS)

robotics, machine learning, artificial intelligence, Deep Learning

Kurt Keutzer

Division of Electrical Engineering (EECS)

computationally efficient machine learning and deep learning, AI

Tesha Sengupta-Irving

School of Education

STEM education, learning sciences, inequality & resistance, politics of learning, case study & design-based research

Marcia C. Linn

School of Education

artificial intelligence, technology, learning, mathematics, science, education, science teaching, gender equity, design of learning environments

Jesse Rothstein

Dept of Economics

Goldman School of Public Policy

labor economics, inequality, education policy, unemployment, tax policy, local public finance, teacher quality, segregation, economics of education, labor market, public impact research/scholarship, research practice partnership, partnership research, higher education

Dan Feldman

Dept of Molecular & Cell Biology

Dept of Neuroscience

neurobiology, learning, neurophysiology, sensory biology

Vira Semenova

Dept of Economics

econometrics, machine learning

David Foster

Dept of Neuroscience

behavioral neurophysiology of spatial learning and memory, hippocampus replay, computational models of reinforcement learning and navigationf

Celeste Kidd

Dept of Psychology

attention, curiosity, learning, computational modeling, cognitive development, machine learning, belief formation

Jacob Steinhardt

Dept of Statistics

artificial intelligence, machine learning

Song Mei

Dept of Statistics

data science, statistics, machine learning

Fei Xu

Dept of Psychology

cognitive development, language development, learning mechanisms, statistical learning and statistical inference, conceptual development, developmental psychology, word learning, physical reasoning, social cognition in infants and children, learning in infants and young children, computational models of cognitive development, cognitive development and AI models, psychology and philosophy

Alan H. Schoenfeld

School of Education

thinking, teaching, learning, productive learning environments, professional development, mathematics education, modeling thinking and decision making

Huiwen Jia

Dept of Industrial Engineering & Operations Research

stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design

Frank C. Worrell

School of Education

development, education, cognition, academic talent development, adolescence, African American, at-risk youth, English-speaking Caribbean, ethnic identity, gifted, psychosocial development, racial identity, school psychology, teacher effectiveness, Trinidad and Tobago, time perspective

Angjoo Kanazawa

Division of Computer Science (EECS)

CS-vision, graphics, machine learning

Avideh Zakhor

Division of Electrical Engineering (EECS)

signal processing, image processing, computer vision, Deep Learning

Chunyan Yang

School of Education

resilience, risk, culture, teacher wellness, school climate, school violence and school climate, children and adolescents, mental health, public impact research/scholarship, community-engaged research/scholarship, research practice partnership, community-based research partnerships, social justice research

Aditi Krishnapriyan

Dept of Chemical & Biomolecular Engineering

Division of Computer Science (EECS)

machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization

Ziad Obermeyer

School of Public Health

machine learning, medicine, health policy

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