Researcher in data visualization x decision making. Asst. Prof. of CS at Emory.

Atlanta, GA
Joined October 2016
Congratulations to Dr. @ShiyaoLi10 ! He successfully defended his dissertation on the role of confirmation bias in visualization. Shiyao will join @HomeDepot as a data scientist. Shiyao was the first student I admitted when I joined Emory, so this is an especially proud moment!🎓
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New semester starts this week. Our lab welcomed a new member, alum, and friends for board games!
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Through the U.S. Department of Energy's Genesis Mission, Emory physicists Justin Burton and Ilya Nemenman will lead an AI-driven plasma research project, while Yana Bromberg will serve as a co-investigator on AI tools for biomining of critical minerals. 🔗 links.emory.edu/1w0
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Really thrilled to announce that, in addition to our flagship Boston 🇺🇸 location, #ieeevis will have two satellites in Paris 🇫🇷 and Tianjin 🇨🇳 to mitigate issues folks face to attend conferences. I’m hopeful this will help grow and sustain the worldwide visualization.
📢 Announcing Satellite Events in France and China 🌍 Connect through live-streamed sessions, recorded content, local networking, and selected remote presentation opportunities linked to the main conference in Boston. Learn more here: tinyurl.com/4yfsk72a
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CAV lab graduate #2! Congratulations Dr. Yanan Da! Yanan defended in the fall and we celebrated on Saturday with her hooding ceremony. Yanan is now a founding engineer at AI startup Akify 🚀 #proudadvisor
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🚨 Three papers from CAV Lab and collaborators this week at @acm_chi - @td_viz will present on personal informatics with Spotify Warped; @don_kordeone will present on belief elicitation; and @leibatt will be presenting on behavior change interventions for responsible data science
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Pre-prints available: - Spotify Warped: emilywall.github.io/media/pa… - Belief Elicitation: emilywall.github.io/media/pa… - Behavior Change: emilywall.github.io/media/pa…
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Emily Wall retweeted
I’ve finally reached peak academic narcissism: according to this email, my primary research specialty is "Furong Huang." 🫠 Not only am I the subject of my own research, but I’ve also apparently mastered "distributed systems", because, as the logic goes, we "distributed" images to participants in our watermarking competition? 🤣 I love a good reach, but this is a yoga pose. Jokes aside, to the students who are actually interested: I am truly sorry. Your thoughtful, genuine emails are being buried under a mountain of this agent-generated noise. If you want to stand out, please: • Ditch the templates. If a bot could have written it, a human probably won't read it. • Be specific. Mention a specific finding or a question you had about a paper, not just the title. • Show the "Why." How does your specific background actually bridge to our work? (And no, "distributing images" doesn't count as systems experience!) Final thought on the AI Agent Era: Attention is our most precious currency, perhaps the only truly finite resource we have left. While agents make it "free" to generate content, they make it incredibly expensive to consume it. We have to start protecting our own attention and, more importantly, respecting the attention of others. If you don't respect someone's time enough to proofread an email, don't expect them to invest their time in your career. #AcademicTwitter #ML #GenAI #AttentionEconomy
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Running more participants this week! Please sign up if you are a Master's or PhD student in visualization :)
🚨Calling vis researchers for a user study! We are interested in how people use AI/LLMs in literature research. 🕐 Time: ~75 minutes 🗓️ When: Week of March 16-20 💸 Compensation: £10 to a charity If interested, fill out this survey: forms.gle/bRjUxLPgYENBSzUY9 🔄Please retweet!
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🚨Calling vis researchers for a user study! We are interested in how people use AI/LLMs in literature research. 🕐 Time: ~75 minutes 🗓️ When: Week of March 16-20 💸 Compensation: £10 to a charity If interested, fill out this survey: forms.gle/bRjUxLPgYENBSzUY9 🔄Please retweet!
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Three papers coming out at @acm_chi 2026 #proudadvisor (see thread). Pre-prints all on my website: emilywall.github.io/publicat…
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Shiyao Li will present his paper Does a Picture Paint a Thousand Words? Using Visual and Textual Channels to Understand Attitudes and Beliefs
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Ziwei Dong, Ph.D. will present his paper Evaluating Behavior Change Interventions for Responsible Data Science
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Thomas Davidson will present his paper Spotify Warped: Reshaping Personal Informatics via Music Listening, Casual Users, Passive Data & Episodic Reflection
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Emily Wall retweeted
US based undergrads - check out this opportunity to do a summer research internship with @uwdub faculty members!
Announcing our DUB REU summer program for 2026! Due 1/31 through NSF ETAP. As an undergrad in the US, you can get matched with a @uwdub faculty member for a ~9 week paid internship hosted at UW to work on HCI research! Please share with students, link below for more info ➡️
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🚨New book🚨 My new book with Springer is part of the "Synthesis Lectures on Visualization" series -- introducing "Human Bias in Visual Data Analysis: A Synthesis of Research to Empower Decision Makers" -- available open access here: ⛓️ link.springer.com/book/10.10…
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Emily Wall retweeted
📢 2026 Summer Internship Our group at Microsoft Research is now accepting applications for PhDs interested in multimodality, reasoning, and agents. If you or someone you know is looking for a research internship, please help spread the word! 🔗 Apply: aka.ms/rwe-intern 📩 Send your CV to [email protected]. Thanks for helping great candidates find their next opportunity!
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Spread the word! 📢 The FATE (Fairness, Accountability, Transparency, and Ethics) group at @MSFTResearch in NYC is hiring interns and postdocs to start in summer 2026! 🎉 Apply by *December 15* for full consideration.
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🚨Upcoming CSCW paper -- find out how we translate behavior change theories common in digital health into the domain of responsible data science. 4-minute read on Medium, which also links to the full paper 🔗: medium.com/acm-cscw/behavior… Come say hi in Bergen for my first ever #CSCW!
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Emily Wall retweeted
Grad school season reminder: many CS departments run student-led pre-application mentorship programs for prospective PhD applicants (due Oct. You can get feedback from current PhD students! Eg - UW’s CSE PAMS: cs.washington.edu/academics/… - MIT EECS GAAP: eecs-gaap.mit.edu/ 🧵
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