Scholar
Jordan William Suchow
Google Scholar ID: S9xCl8EAAAAJ
Stevens Institute of Technology
Citations & Impact
Citations
2,257
H-index
21
i10-index
27
Publications
20
Co-authors
70
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Motion silences awareness of visual change, Current Biology, 2011
- A specific policy on authorship, Nature, 2011
- Variability in the quality of visual working memory, Nature Communications, 2012
- Learning to detect and combine the features of an object, Proceedings of the National Academy of Sciences, 2013
- Modeling visual working memory with the MemToolbox, Journal of Vision, 2013
- The crowd is self-aware, Behavioral and Brain Sciences, 2014
- Terms of the debate on the format and structure of visual memory, Attention, Perception, & Psychophysics, 2014
- Measuring, monitoring, and maintaining memories in a partially observable mind, PhD Dissertation, 2014
- Building a social network one choice at a time, PLOS ONE, 2015
- Design from zeroth principles, CogSci 2016, 2016
- Linting science prose and the science of prose linting, SciPy 2016, 2016
- Deciding to remember: memory maintenance as a Markov Decision Process, CogSci 2016, 2016
- Looking inwards and back: realtime monitoring of visual working memory, Journal of Experimental Psychology: LMC, 2016
- Rethinking experiment design as algorithm design, CrowdML 2016, 2016
- Empirical tests of large-scale collaborative recall, CogSci 2017, 2017
- Uncovering visual priors in spatial memory using serial reproduction, CogSci 2017, 2017
- Evolution in mind: evolutionary dynamics, cognitive processes, and Bayesian inference, Trends in Cognitive Sciences, 2017
- Learning a face space for experiments on human identity, CogSci 2018, 2018
- Capturing human category representations by sampling in deep feature spaces, CogSci 2018, 2018
- Adaptive sampling for convex regression, arXiv, 2018
- nbgrader: A tool for creating and grading assignments in the Jupyter Notebook, Journal of Open Source Education, 2019
- Crowdsourcing hypothesis tests: Making transparent how design choices shape research results, Psychological Bulletin, 2020
- What the Baldwin Effect affects depends on the nature of plasticity, Cognition, 2020
- Experimental evolutionary simulations of learning, memory and life history, Philosophical Transactions B, 2020
- To which world regions does the valence–dominance model of social perception apply?, Nature Human Behaviour, 2021
- Serial reproduction reveals the geometry of visuospatial representations, Proceedings of the National Academy of Sciences, 2021
- Memory transmission in small groups and large networks: An empirical study, Psychonomic Bulletin and Review, 2021
- Deep models of superficial face judgments, Proceedings of the National Academy of Sciences, 2022
- The paradox of learning categories from rare examples: a case study of NFTs & The Bored Ape Yacht Club, CogSci2022, 2022
- Learning and enforcing a cultural consensus in online communities, Cognitive Science Society, 2022
- The experimental evolution of human culture: flexibility, fidelity and environmental instability
Research Experience
- Now I am an assistant professor at Stevens Institute of Technology.
Education
- After an undergraduate degree in computer science at Brandeis (B.S. 2009), I studied cognitive psychology at Harvard (A.M. 2011, Ph.D. 2014) and then completed a postdoc in computational cognitive science at the University of California, Berkeley.
Background
- Cognitive science + information systems at Stevens Institute of Technology. Studying minds, brains, and machines.
