Jordan Suchow

☰

    a large headshot Cognitive science + information systems at Stevens Institute of Technology. Studying minds, brains, and machines. 🧠 🤖 CV

    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.

    Now I am an assistant professor at Stevens Institute of Technology.

    Get in touch by email.

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  1. Motion silences awareness of visual change.

  2. A specific policy on authorship.

  3. Variability in the quality of visual working memory.

  4. Learning to detect and combine the features of an object.

  5. Modeling visual working memory with the MemToolbox.

  6. The crowd is self-aware.

  7. Terms of the debate on the format and structure of visual memory.

  8. Measuring, monitoring, and maintaining memories in a partially observable mind.

  9. Building a social network one choice at a time.

  10. Design from zeroth principles.

  11. Linting science prose and the science of prose linting.

  12. Deciding to remember: memory maintenance as a Markov Decision Process.

  13. Looking inwards and back: realtime monitoring of visual working memory.

  14. Rethinking experiment design as algorithm design.

  15. Empirical tests of large-scale collaborative recall.

  16. Uncovering visual priors in spatial memory using serial reproduction.

  17. Evolution in mind: evolutionary dynamics, cognitive processes, and Bayesian inference.

  18. Learning a face space for experiments on human identity.

  19. Capturing human category representations by sampling in deep feature spaces.

  20. Adaptive sampling for convex regression.

  21. nbgrader: A tool for creating and grading assignments in the Jupyter Notebook.

  22. Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.

  23. What the Baldwin Effect affects depends on the nature of plasticity.

  24. Experimental evolutionary simulations of learning, memory and life history.

  25. To which world regions does the valence–dominance model of social perception apply?.

  26. Serial reproduction reveals the geometry of visuospatial representations.

  27. Memory transmission in small groups and large networks: An empirical study.

  28. Deep models of superficial face judgments.

  29. The paradox of learning categories from rare examples: a case study of NFTs & The Bored Ape Yacht Club.

  30. Learning and enforcing a cultural consensus in online communities.

  31. The experimental evolution of human culture: flexibility, fidelity and environmental instability.

  32. Deep tensor factorization models of first impressions.

  33. Cultural alignment of machine-vision representations.

  34. Beyond playing 20 questions with nature: Integrative experiment design in the social and behavioral sciences.

  35. Scaling up behavioural studies of visual memory.

  36. Predicting judgments of food healthiness with deep latent-construct cultural consensus theory.

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  42. Data-driven, photorealistic social face-trait encoding, prediction, and manipulation using deep neural networks.

  43. 1,000 doppelgangers.

  44. You probably have a twin stranger.

  45. Visual quantitative literacy test 0.4.

  46. Silencing the awareness of change.

  47. Dallinger: laboratory automation for the behavioral and social sciences.

  48. Proselint, a linter for prose.

  49. Wallace, a platform for experimental cultural evolution.

  50. The handshake conjecture.

  51. What they ought to teach in school.

  52. Two tests of motivation.

  53. The treachery of sculptures.

  54. Fallin'.

  55. The flame challenge.

  56. Dissertate.

  57. Radiolab, tetrachromacy, and responsible experiments.

  58. Anti-silencing.

  59. Zipf it.

  60. Japan.

  61. Inverted eyes illusion.

  62. Clockwalk: a stochastic clock.

  63. Reading list.

  64. Time (Bring it on).

  65. Random walk blocks.

  66. Seeing things: Visual perception research at NYU.

  67. Water.