Postdoctoral Researcher
Princeton Neuroscience Institute
Princeton University

Research Focus:
Cognitive Neuroscience
Computational Neuroscience
Machine Learning

Princeton Neuroscience Institute
Washington Road
Princeton, NJ 08544

mci (at) princeton (dot) edu

Google Scholar | Research Gate

Travel and Presentations

2018


Mar 23 PDP Seminar
Princeton, NJ
talk
May 18-23 VSS 2018
St. Pete Beach, FL
talk
June 17-21 OHBM 2018
Singapore
poster
July 25-28 CogSci 2018
Madison, WI
talk
Nov 3-7 SfN 2018
San Diego, CA
poster | poster


2017


Mar 31 PDP Seminar
Princeton, NJ
talk
May 19-24 VSS 2017
St. Pete Beach, FL
poster
June 28-30 IASL 2017
Bilbao, Spain
talk
Sep 20 CogSci Seminar
Princeton, NJ
talk
Nov 11-15 SfN 2017
Washington, DC
poster | poster
Nov 28-Dec 1 rtFIN 2017
Nara, Japan
poster
Dec 8 PDP Seminar
Princeton, NJ
talk

marius cătălin iordan
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instructor

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
Fall 2017 | 11 students


guest lectures

Networks and Hierarchical Processing: Object Recognition in Human and Computer Vision
Dec 2014 | Stanford University. CS 131. Computer Vision and Applications
slides

A Primer on Human Vision: Insights and Inspiration for Computer Vision
Oct 2014 | Stanford University. CS 131. Computer Vision and Applications
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: Prof. Fei-Fei Li
Fall 2014 | 50 students

CS 229. Machine Learning
Instructor: Prof. 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: Prof. Morgan McGuire
Spring 2009 | 30 students

CS 334. Programming Languages
Instructor: Prof. Stephen Freund
Spring 2008 | 30 students

CS 361. Theory of Computation
Instructor: Prof. Brent Heeringa
Fall 2007 | 20 students

CS 237. Microarchitecture
Instructor: Prof. James D. Teresco
Fall 2006 | 35 students

CS 361. Theory of Computation
Instructor: Prof. Brent Heeringa
Fall 2008 | 25 students

MATH 211. Linear Algebra
Instructor: Prof. Cesar E. Silva
Spring 2008 | 60 students

MATH 211. Linear Algebra
Instructor: Prof. Theron J. Hitchman
Spring 2007 | 60 students

MATH 211. Linear Algebra
Instructor: Prof. Cesar E. Silva
Fall 2006 | 120 students