Assistant Professor
Brain and Cognitive Sciences
Neuroscience
University of Rochester

Research Focus:
Cognitive Neuroscience
Computational Neuroscience
Machine Learning & Data Science

mci (at) rochester (dot) edu
Twitter: @MCatalinIordan
Google Scholar

 he/she/they

marius cătălin iordan
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instructor, university of rochester

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. BCSC 280 / NSCI 280 / BCSC 580 undergraduate + graduate   |   lecture + seminar Fall 2023

instructor, princeton university

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 Rating 4.6/5.0

guest lectures

Multivariate Pattern Separation For Multiple Experimental Techniques Jul 2020   |   Princeton University. Scientific Computing. (co-taught with Elise A. Piazza) slides Networks and Hierarchical Processing: Object Recognition in Human and Computer Vision Dec 2014   |   Stanford University. CS 131. Computer Vision and Applications. Instructor: Fei-Fei Li slides A Primer on Human Vision: Insights and Inspiration for Computer Vision Oct 2014   |   Stanford University. CS 131. Computer Vision and Applications. Instructor: Fei-Fei Li slides

course assistant, stanford university

Taught discussion sections, held office hours, assisted students with problem sets and code, graded assignments. Work included Matlab programming and extensive theoretical proofs.

CS 131. Computer Vision and Applications Instructor: Fei-Fei Li Fall 2014   |   50 students

CS 229. Machine Learning Instructor: Andrew Ng Fall 2011   |   460 students

teaching assistant, williams college

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.

CS 334. Programming Languages Instructor: Morgan McGuire Spring 2009   |   30 students CS 334. Programming Languages Instructor: Stephen Freund Spring 2008   |   30 students CS 361. Theory of Computation Instructor: Brent Heeringa Fall 2007   |   20 students CS 237. Microarchitecture Instructor: James D. Teresco Fall 2006   |   35 students

CS 361. Theory of Computation Instructor: Brent Heeringa Fall 2008   |   25 students MATH 211. Linear Algebra Instructor: Cesar E. Silva Spring 2008   |   60 students MATH 211. Linear Algebra Instructor: Theron J. Hitchman Spring 2007   |   60 students MATH 211. Linear Algebra Instructor: Cesar E. Silva Fall 2006   |   120 students