Assistant Professor
Brain and Cognitive Sciences
Neuroscience
Goergen Institute for Data Science
University of Rochester
Research Interests
Visual and Semantic Cognition
Learning and Neural Plasticity
Computational Neuroscience
| Aug 6-9 | CCN Boston, MA |
| Jul 31 | BCS Summer Seminar Rochester, NY |
| Aug 28 | BCS Retreat Canandaigua, NY |
| Nov 16-19 | Psychonomics San Francisco, CA |
An interdisciplinary introduction to cognitive science, focusing on behavioral, neuroscientific, and artificial intelligence approaches to understanding how information is encoded, represented, organized, and used by the human mind to interact with the world. Topics explored include concepts, categories, learning, attention, language, memory, and deep neural networks.
Cognition University of Rochester. Brain and Cognitive Sciences & Psychology. BCSC 153 / PSYC 153 undergraduate | lecture Spring 2024, 120 students |
An interdisciplinary tour of human cognition with a special focus on large-scale neural representations in the human brain. Topics include categorization, semantics, attention, memory, language, and cognitive control, with an emphasis on cutting-edge research that lies at the intersection of neuroscience, psychology, and computer science.
Advanced Topics in Cognitive Neuroscience University of Rochester. Brain and Cognitive Sciences & Neuroscience. BCSC 280 / NSCI 280 / BCSC 580 undergraduate + graduate | lecture + seminar Fall 2023, 12 students, teaching effectiveness 4.8/5.0 |
Workshop that trained senior thesis students how to develop a strong rationale for performing effective empirical research. Also included professional development training (time management, effective writing and presentation style, designing compelling figures).
How to Effectively Design, Write, and Present a Neuroscience Honors Thesis Princeton University. Neuroscience. Senior Thesis Workshop undergraduate | seminar Fall 2020, 11 students |
Discussion-based group tutorial that taught students how to analyze and interpret modern neuroscience literature. Topics focused on semantic and visual categorization in humans and non-human primates, covering multiple modalities (fMRI, ECoG, MEG, DNNs, modeling).
Cognitive and Computational Concerns in Cortical Concept Categorization Princeton University. Neuroscience. Junior Tutorial undergraduate | lecture + seminar Fall 2017, 11 students, teaching effectiveness 4.6/5.0 |
Semantic Maps Across Human Cortex University of Rochester. Neuroscience. NSCI 592. Critical Readings in Systems and Integrative Neuroscience. Spring 2024 
The Neuroscience of Categorization University of Rochester. Brain and Cognitive Sciences. BCSC 502. Cognition. Spring 2024 
Multivariate Pattern Separation For Multiple Experimental Techniques Princeton University. Neuroscience. Scientific Computing. Summ 2020 
Networks and Hierarchical Processing: Object Recognition in Human and Computer Vision Stanford University. Computer Science. CS 131. Computer Vision and Applications. Fall 2014 
A Primer on Human Vision: Insights and Inspiration for Computer Vision Stanford University. Computer Science. CS 131. Computer Vision and Applications. Fall 2014 |
Taught discussion sections, held office hours, assisted students with problem sets and code, graded assignments. Work included Matlab programming and extensive theoretical proofs.
Computer Science. CS 131 Computer Vision and Applications Instructor: Fei-Fei Li Fall 2014, 50 students |
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Assisted students with coding assignments, held consulting hours, graded student work. Assignments included extensive theoretical proofs and programming in Java, C, C++, Lisp, Smalltalk, and Assembly language.
Computer Science. CS 237 Microarchitecture Instructor: James D. Teresco Fall 2006, 35 students |
Mathematics. MATH 211 Linear Algebra Instructor: Cesar E. Silva Spring 2008, 60 students
Mathematics. MATH 211 Linear Algebra Instructor: Theron J. Hitchman Spring 2007, 60 students
Mathematics. MATH 211 Linear Algebra Instructor: Cesar E. Silva Fall 2006, 120 students |
