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Michelle Greene

@mgreenephd.bsky.social
3.7K followers 761 following 442 posts

Cognitive scientist at Barnard College; visual categorization; EEG; eye movements; machine learning; childless cat fae; will ask to see a picture of your pet. Opinions my own. They/she. 🏳️‍🌈

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Michelle Greene @mgreenephd.bsky.social · 28/09/2026
Experiencing this at all stages of the publication pipeline: * As an editor who asks 25+ people before securing two peer reviewers. * As a reviewer fielding 7-10 new requests per week. * An an author who has waited ~4 months for reviewers. AI is DDOS on actual scientific progress.
Review timeline. Paper submitted June 1. Two reviewers agreed September 26.
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Michelle Greene @mgreenephd.bsky.social · 25/09/2026
Critically, height predicted observers' performance in a rapid categorization task: shorter observers performed better for faces in the upper visual field, while taller observers were better in the lower, consistent with their lived experience of faces. 5/
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Michelle Greene @mgreenephd.bsky.social · 25/09/2026
Fixations compensate for this, with the effect even slightly reversing for faces. 4/
Graph describing results.
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Michelle Greene @mgreenephd.bsky.social · 25/09/2026
When we consider all faces and hands (fixated and not) in one's view, we see that taller individuals see faces lower in the visual field, and hands higher. This is consistent with shorter folks looking up at faces. 3/
Graph showing results as described.
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Michelle Greene @mgreenephd.bsky.social · 25/09/2026
In this picture, two observers of different heights are walking in the same place. When creating the Visual Experience Dataset, I was often struck by how different one's experience of the same place could be. 2/
Two views of the same hallway by two people of different heights. Taller vantage is more expansive.
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Michelle Greene @mgreenephd.bsky.social · 25/09/2026
Fixations compensate for this, with the effect even slightly reversing for faces. 4/
Graph showing performance as described.
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Michelle Greene @mgreenephd.bsky.social · 25/09/2026
When we consider all faces and hands (fixated and not) in one's view, we see that taller individuals see faces lower in the visual field, and hands higher. 3/
Graph showing performance as described.
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Michelle Greene @mgreenephd.bsky.social · 25/09/2026
In this picture, two observers of different heights are walking in the same place. When creating the Visual Experience Dataset, I was often struck by how different one's experience of the same place could be. 2/
Two views of a hallway. The taller individual's view appears more expansive.
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Michelle Greene @mgreenephd.bsky.social · 19/05/2026
Here’s one that’s a bit better.
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Michelle Greene @mgreenephd.bsky.social · 18/05/2026
Barnard Visual Cognition Lab at #VSS2026!
Group of badass scientists on the beach!
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Michelle Greene @mgreenephd.bsky.social · 13/05/2026
Excited for #VSS2026! Please come check out the work of my lab and our friends. A 🧵. 1/
Schedule of Barnard Visual Cognition presentations. Search abstracts for "Greene" to get the same information.
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Michelle Greene @mgreenephd.bsky.social · 12/04/2026
It’s a shame that my students’ generation doesn’t know the joy of getting to the stage of friendship when you’re allowed to flip through your buddy’s music collection and bond over the obscure and/or cringe music you both love.
90s era CD wallet collection with highly questionable music choices.
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Michelle Greene @mgreenephd.bsky.social · 24/03/2026
Yeah, the world is a dumpster fire right now. But the feeling of celebrating students’ first paper submission? Still magical!
Three smiling badass scientists bask in the glory of paper submission… with pastries!
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Michelle Greene @mgreenephd.bsky.social · 18/02/2026
She and Rev Bayes should throw themselves a pity party!
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Michelle Greene @mgreenephd.bsky.social · 09/02/2026
Becoming a True New Yorker (TM) by bringing some truly unhinged object on the subway.
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Michelle Greene @mgreenephd.bsky.social · 05/02/2026
Definitely the raddest hotel view at a conference I’ve had!
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Michelle Greene @mgreenephd.bsky.social · 01/02/2026
This is who runs this account.
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Michelle Greene @mgreenephd.bsky.social · 16/01/2026
Y'all? Never again is now.
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Michelle Greene @mgreenephd.bsky.social · 03/01/2026
Looks like another good day to start screaming in the streets.
Protest at Columbus Circle, NYCTrump /Pig costume Protest in Times Square
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Michelle Greene @mgreenephd.bsky.social · 24/12/2025
Interestingly, these metrics are not strongly correlated! 4/
Figure showing scatterplot of zero correlation between semantic and visual complexity.
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Michelle Greene @mgreenephd.bsky.social · 10/12/2025
Happy #VSS submission day to all who celebrate! So proud of this crew (and friends!) pulling off six abstracts! See y’all in Florida! #VisionScience
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Michelle Greene @mgreenephd.bsky.social · 22/10/2025
Sobs in intellectual.
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Michelle Greene @mgreenephd.bsky.social · 18/10/2025
Just out with a few friends. #NoKings
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Michelle Greene @mgreenephd.bsky.social · 09/10/2025
Another flight, another dude who feels entitled to my legroom. 🙄
Manspreader in the middle seat.
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Michelle Greene @mgreenephd.bsky.social · 01/10/2025
Heading to the Bronx. Betting hard on the idea that they won’t throw punches at a middle aged professor.
The author in Red Sox gear
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Michelle Greene @mgreenephd.bsky.social · 29/09/2025
My favorite subway graffiti right now is anti-friend hot takes.
Graffiti on ad reads "and is a living being — not AI!"Graffiti reads "AI fuels isolation — reach into the real world!!"
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Michelle Greene @mgreenephd.bsky.social · 29/09/2025
Sure. Here's Spring 2025. The first column is the project name, subsequent columns are goals for each month, color-coded by task type (data collection, analysis, dissemination, etc.)
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Michelle Greene @mgreenephd.bsky.social · 12/08/2025
Really excited for #CCN2025! Come see our poster (A58). We asked people to describe the same pictures with different task instructions and trained a CNN to learn these sentence embeddings. Both networks learned task-relevant visual features that humans also needed for the same tasks!
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Michelle Greene @mgreenephd.bsky.social · 08/07/2025
Experiment 1 used @martinhebart.bsky.social's odd-one-out triplet task, but with a twist: each pair within a triplet was selected to be an outlier in one of three feature spaces: ✅ Affordances ✅ Surfaces ✅ Materials People picked the affordance outlier as being the most different most often. (3/7)
Left panel shows triplet similarity structure. Right panel is result: affordance outliers were more frequently chosen (at the expense of surfaces).
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Michelle Greene @mgreenephd.bsky.social · 28/06/2025
Heading to the NYC Dyke March! Who else is going?
Doc Maretens, fishnets, and a rainbow skirt
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Michelle Greene @mgreenephd.bsky.social · 22/06/2025
May all who have despotic leaders be safe (Rabbi Marisa James quote)
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Michelle Greene @mgreenephd.bsky.social · 18/05/2025
Come chat with Carina about scene-word EEG decoding! #VSS2025
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Michelle Greene @mgreenephd.bsky.social · 18/05/2025
Come chat with Carina about object-word EEG cross decoding, now in Banyan.
Student presenting awesome science poster
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Michelle Greene @mgreenephd.bsky.social · 16/05/2025
And Amy and Vivian will present on EEG decoding of visual and semantic scene information. 5/5
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Michelle Greene @mgreenephd.bsky.social · 16/05/2025
Skylar used an SSVEP "sweep" paradigm to examine the information accumulation of visual and semantic information. 4/5
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Michelle Greene @mgreenephd.bsky.social · 16/05/2025
Our other posters will be on Tuesday afternoon (pregame for Club Vision with us). Sage and Hooriya will present some interesting double dissociations between detection and categorization for two types of complexity, visual and semantic. 3/5
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Michelle Greene @mgreenephd.bsky.social · 16/05/2025
Carina will present Sunday in the Undergraduate Just in Time session. Her work considers the neural correlates of word-picture congruence in scene recognition. 2/5
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Michelle Greene @mgreenephd.bsky.social · 30/04/2025
I have no idea what’s going on in this chaotic discarded painting, but I’ve never felt more seen.
Colorful painting of a wild looking woman and chair
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Michelle Greene @mgreenephd.bsky.social · 05/04/2025
Amazing turnout for #handsoff NYC. The second photo is the crowd waiting to start marching after I had "salmoned" back to the start. Wall to wall to wall from 40th to 25th!
Protestors in the rain carrying signs in NYC.Crowd of people wait to start marching outside of the NYPL.
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Michelle Greene @mgreenephd.bsky.social · 05/04/2025
Exit to *exit* the subway 30 minutes before #handsoff starts. Good job, NYC!
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Michelle Greene @mgreenephd.bsky.social · 01/04/2025
That sky though….
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Michelle Greene @mgreenephd.bsky.social · 29/03/2025
Portrait of the artist in college at a protest against G.W. Bush's appearance on campus. My sign (not pictured) read "L.A.B.I.A.: Lesbians Against Bush's Idiotic Administration. Read our lips". Thinking a lot about how my students don't have the same freedom to be young & opinionated. 1/3
College-aged woman with smirk in a protest. Signs protest the Iraq war.
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Michelle Greene @mgreenephd.bsky.social · 23/03/2025
5/ Even within affluent countries like the US, these biases persist. Homes from wealthier US counties were classified with higher confidence. The models implicitly equate "affluent" with "clear," "legitimate," and "recognizable."
County maps of the US showing higher uncertainty and higher offensive label rates for less affluent counties.
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Michelle Greene @mgreenephd.bsky.social · 23/03/2025
2/ Here are the top five classifications from a leading CNN (Resnet-50). As you can see, not only are the images misclassified, but they're misclassified in ways that connote death, disrepair, and decay.
Bathrooms with CNN predictions (ruin, slum, trench, jail cell).
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Michelle Greene @mgreenephd.bsky.social · 23/03/2025
🚨New publication alert!🚨 Our latest paper explores socioeconomic biases in AI—but this time, it's not about people directly. It's about homes. Consider these images: it's clear to us that they're all bathrooms. 1/
Bathrooms from several international locations.
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Michelle Greene @mgreenephd.bsky.social · 11/03/2025
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Michelle Greene @mgreenephd.bsky.social · 07/03/2025
It was a no-good, terrible, very bad week. But I got flowers for my lab to celebrate International Women’s Day tomorrow.
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Michelle Greene @mgreenephd.bsky.social · 26/02/2025
Feeling this extra hard in the US. View from my lab last night.
Red sunset over cityscape
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Michelle Greene @mgreenephd.bsky.social · 21/02/2025
Back in my body after grinding on a deadline. Cold, but stunning!
NYC skyline from Central Park at sunrise.
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Michelle Greene @mgreenephd.bsky.social · 16/02/2025
Mood persists.
Commit message reads "rising from the ashes"
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