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jhucompsci.bsky.social
JHU Computer Science
@jhucompsci.bsky.social
A diverse and collaborative community on the cutting edge of computing and technology within hopkinsengineer.bsky.social at the Johns Hopkins University.
cs.jhu.edu • Baltimore, MD
“If normal encrypted messages are cats, then post-quantum ciphertexts are elephants,” says @matthewdgreen.bsky.social. “So the problem here is to sneak an elephant through a cat tunnel. And that’s an amazing engineering achievement. But it also makes me wish we didn’t have to deal with elephants.”
November 21, 2025 at 2:08 PM
“I’m currently involved in a study where we’re using these technologies to study pancreatic cancers,” says @jhu-bdps.bsky.social @mikeschatz.bsky.social. We’re finding things that are only possible because of this new genome and these new technologies.”
Putting our pieces together
For more than half a century, Johns Hopkins has been a leader in converting federal support into tangible benefits for the American people—such as correcting maps of the human genome.
www.cs.jhu.edu
November 20, 2025 at 2:27 PM
Learn about JHU CS’ Suchi Saria’s mission to see how #AI can be deeply interwoven into clinical workflows to significantly reduce unnecessary mortality and injury.
A trailblazing researcher describes her path to AI and health care
A conversation with Johns Hopkins computer scientist Suchi Saria, who is on a mission to augment human care with the latest in AI and machine learning technology.
www.cs.jhu.edu
November 19, 2025 at 2:19 PM
Congratulations to Pengyu “Steven” Kan on his recognition at #ANA2025! Conducted with @imagingai.bsky.social, his research uses a deep learning model to predict biological brain age and identify critical regions of the brain associated with the aging process.
CS PhD student receives distinctions at ANA 2025
Pengyu “Steven” Kan’s research on predicting biological brain age was recognized by both an oral presentation and a Poster Award.
www.cs.jhu.edu
November 18, 2025 at 6:42 PM
“It’s crazy. The fact that this much data is going over satellites that anyone can pick up with an antenna is just incredible,” says JHU CS’ @matthewdgreen.bsky.social. “This paper will fix a very small part of the problem, but I think a lot of it is not going to change.”
November 17, 2025 at 8:04 PM
Read @jhu.edu Magazine’s conversation with computer scientist Suchi Saria, who discusses the evolution of her career, the personal connections she has to her work, the creation of her spin-off company Bayesian Health, and the promise of what’s to come for #AI and health care.
A trailblazing researcher describes her path to AI and health care
A conversation with trailblazing computer scientist Suchi Saria, who is on a mission to augment human care with the latest in AI and machine learning technology
hub.jhu.edu
November 17, 2025 at 4:25 PM
Congratulations, Nathan!
November 17, 2025 at 2:29 PM
Our computer scientists presented fascinating #NLP research at @emnlpmeeting.bsky.social last week—check out some of their work in this thread! 🧵 (1/7) #EMNLP2025
November 13, 2025 at 8:32 PM
“We could see the industrialization of the technology, and we were eager to see how it was going to impact education,” says @danielkhashabi.bsky.social. Learn more about how he and other JHU researchers used a chatbot as a classroom “co-tutor.”
Researchers explore how AI could shape the future of student learning
A Johns Hopkins study reveals the strengths and pitfalls of incorporating chatbots into middle and high school classrooms as a “co-tutor.”
www.cs.jhu.edu
November 13, 2025 at 5:02 PM
This past weekend, the Johns Hopkins chapter of the
@acm.org hosted the 2025 ICPC North America Mid-Atlantic Regional Contest, bringing together 20+ teams from 15 schools to participate in fun and exciting problem solving!
November 13, 2025 at 2:55 PM
Benjamin Van Durme and @williamjurayj.bsky.social are helping Americans calculate their taxes by developing a new approach that combines the power of large language models with the precision of symbolic solvers.
November 12, 2025 at 2:39 PM
JHU CS’ @phikoehn.bsky.social explains that nuance often disappears in the translation process: “Like if I slightly emphasize a word or hesitate somewhere a little bit, all that means something. Maybe I’m not certain, or I’m fishing for confirmation. Those subtle clues still get lost.”
November 11, 2025 at 8:09 PM
Reposted by JHU Computer Science
🚀 SynthTextEval, our open-source toolkit for generating and evaluating synthetic text data for high-stakes domains, will be featured at EMNLP 2025 as a system demonstration!

GitHub: github.com/kr-ramesh/sy...
Paper 📝: aclanthology.org/2025.emnlp-d...

#EMNLP2025 #EMNLP #SyntheticData
GitHub - kr-ramesh/synthtexteval: SynthTextEval: A Toolkit for Generating and Evaluating Synthetic Data Across Domains (EMNLP 2025 System Demonstration)
SynthTextEval: A Toolkit for Generating and Evaluating Synthetic Data Across Domains (EMNLP 2025 System Demonstration) - kr-ramesh/synthtexteval
github.com
November 7, 2025 at 12:53 AM
Reposted by JHU Computer Science
Please join IAA on Tuesday, November 18 at 10:45 a.m. to hear Dr. @aliu33.bsky.social from @jhucompsci.bsky.social present her talk "Robust and Uncertainty-Aware Decision Making under Distribution Shifts" as part of our seminar series.

Details: iaa.jhu.edu/event/iaa-se...
IAA Seminar Series — Anqi Liu - Johns Hopkins Institute for Assured Autonomy
When: November 18, 2025 @ 10:45 am – 12:00 pm Where: Malone Hall 228, Johns Hopkins University Title: Robust and Uncertainty-Aware Decision Making under Distribution Shifts Abstract: Decision ...
iaa.jhu.edu
November 3, 2025 at 6:04 PM
A team from @jhu.edu including @danielkhashabi.bsky.social recently introduced a chatbot into a classroom of middle and high school students to act as a co-tutor and study the impact.
Researchers explore how AI could shape the future of student learning
A new study reveals the strengths and pitfalls of incorporating chatbots into classrooms as a 'co-tutor'
hub.jhu.edu
November 10, 2025 at 7:56 PM
Reposted by JHU Computer Science
"Uncalled4" from @jhu-bdps.bsky.social & @jhucompsci.bsky.social Prof Michael Schatz maps DNA and RNA modifications that regulate gene activity w/ unprecedented accuracy. The open-source tool could advance cancer research, drug discovery, and precision medicine. engineering.jhu.edu/news/researc...
Researchers Build a Smarter Tool for Reading Genetic Code - Johns Hopkins Whiting School of Engineering
The Hopkins team’s new, open-source software dramatically improves scientists’ ability to detect genetic modifications that control gene activity.
engineering.jhu.edu
October 6, 2025 at 6:50 PM
Join us for our next Gerald M. Masson Distinguished Lecture on November 20! Learn more: www.cs.jhu.edu/event/gerald...
November 10, 2025 at 2:26 PM
Reposted by JHU Computer Science
Xiaobin Wang will be working with our director, @alexisbattle.bsky.social, to synthesize and integrate mountains of complex child exposure data. Read more:
November 6, 2025 at 3:28 PM
Reposted by JHU Computer Science
In the Magazine: ~90% of federal defendants rely on court-appointed lawyers. @jhucompsci.bsky.social alum Iris Gupta, Engr ’25, built CounselAI to help overburdened attorneys process case files, find evidence, & fight for their clients. It's in beta at 20 firms. engineering.jhu.edu/magazine/inq...
Wiser Counsel for Public Defenders - Johns Hopkins Engineering Magazine
An AI-powered digital discovery tool could help public defenders manage overwhelming caseloads.
engineering.jhu.edu
August 13, 2025 at 7:23 PM
A renowned expert in technology, law, and institutional economics, @ghadfield.bsky.social gives us an inside look at her current research and most significant findings in the field of AI governance.
New faculty Q&A: Gillian Hadfield
Learn about the research of Gillian Hadfield, who joins Johns Hopkins as the Bloomberg Distinguished Professor of AI Alignment and Governance.
www.cs.jhu.edu
November 6, 2025 at 8:11 PM
Reposted by JHU Computer Science
Excited to be a partner in the first scalable federated learning platform for cancer research: "CAIA will enable unprecedented exploration of AI models for cancer patient data, through a privacy-aware technical framework and a collaborative research alliance."—Prof Alexis Battle
The Cancer AI Alliance (CAIA) today unveiled its first collaborative #AI platform for #cancerresearch. The secure, scalable, multi-cloud platform uses federated learning, maintaining data security and privacy while learning from millions of clinical data points. https://bit.ly/4nvm3NF
Cancer AI Alliance unveils first collaborative AI platform for cancer research - Cancer AI Alliance
Secure, scalable, multi-cloud platform using federated learning aims to accelerate cancer discoveries and treatments
bit.ly
October 2, 2025 at 3:57 PM
Join @aliu33.bsky.social for “Beyond Empirical Risk Minimization: Performance Guarantees, Distribution Shifts, and Noise Robustness,” an invited talk from BCAM’s Santiago Mazuelas on Monday, November 10:
Invited Speaker: Santiago Mazuelas, Basque Center for Applied Mathematics - Department of Computer Science
Abstract The empirical risk minimization (ERM) approach for supervised learning chooses prediction rules that fit training samples and are “simple” (generalize). This approach has been the workhorse o...
www.cs.jhu.edu
November 6, 2025 at 2:21 PM
Join us on December 4 for the Don P. Giddens Inaugural Professorial Lecture recognizing Joanne Selinski as a teaching professor in the Department of Computer Science! Register here: www.cs.jhu.edu/event/inaugu...
November 5, 2025 at 5:03 PM