Traversal is a @Columbia-born, AI-powered startup with a core mission of keeping large software systems running smoothly. And the company now has at least 8 Columbia alumni among its 35 employees. Read about this #ColumbiaAI success story from @CUSEAS:

RT @EE_ColumbiaSEAS: Another byline in @Forbes featuring @CUSEAS EE Professor @asafcidon's research: “AI Is Behind 50% of Spam — And Now It….

The DSI Scholars Program matches students with @Columbia faculty who are working on innovative, challenging, and advanced research initiatives. The goal? Use data science to address an important research challenge and gain new skills. About the program:

Under the guidance of Profs Joaquim Goes, Helga D. Gomes & Jinghui Wu, the project was a collaborative initiative between @NASA’s PACE (Plankton, Aerosol, Cloud, Ocean Ecosystem) program and the @ColumbiaClimate's @LamontEarth. Pictured here: the equipment used for their system!

As DSI Scholars for the Spring 2025 term, Master's in Computer Science students Anushka Agarwal (left) & Pei Tian (right) developed a classification system that can rapidly and accurately identify phytoplankton species based on their distinct features. 🌊

Andreas described his experience at @OneRSAC:. "I gained an appreciation for the current trends in the security industry like the challenges & opportunities in AI, cloud, & supply chain tech. This will help me maximize my research by aligning it with relevant industry problems."

🙌 @DataSciColumbia ➡️ RSAC™ 2025. Andreas Kellas, a PhD Student in Computer Science, recently attended the @OneRSAC Conference. As an RSAC Security Scholar, he joined fellow scholars from universities across the country for exclusive events and programming at the conference.

The study was published in @NatureHumBehav and is based on in-person interviews with more than 10,000 adults across 82 rural Honduran villages — one of the largest field studies of social perception to date. Read more about it:

A team led by @DataSciColumbia postdoctoral fellow @EricFeltham set out to understand how people perceive the social ties in their communities—and how those perceptions differ from reality.

RT @ColumbiaDBMI: Thank you to the faculty for leading this first-time course here at @ColumbiaPS, and for the fantastic trainees who were….

RT @columbiaclimate: What are geoengineering and cloud seeding, and what are their implications for future climate mitigation strategies? @….

Mark your calendars for these upcoming Skills for Health and Research Professionals (SHARP) Trainings!. These short, intensive boot camps are open to investigators at all career levels and from any organization. Register: @Columbia @ColumbiaMSPH

#ColumbiaAI News: A new AI-based screening tool led by @columbianursing's Maryam Zolnoori, can predict whether people are at risk of developing dementia up to a decade in advance. Read more in @columbiamag: @Columbia.

📣 NEW at @Columbia: AI for Social Good. This new initiative from the @ColumbiaSIG at @ColumbiaSSW brings together leading scholars to advance research, education, & training at the intersection of AI & social impact. #ColumbiaAI #socialimpact

RT @CUSEAS: An MS student sent a cold email. A professor answered. Eighteen months later, the student-faculty duo launched a startup backed….

They'll design a machine-learning-based plan for research with the @VRubinObs data that will uncover an important, previously hidden set of binary stars. Astronomers from across NY gathered to celebrate the release of this new telescope data. Read more:

Jennifer L. Sokoloski, (pictured here), Research Scientist at the @Columbia Astrophysics Laboratory, and Savannah Thais, Associate Research Scientist at @DataSciColumbia, are laying the groundwork for a decade of astrophysics discoveries using this new resource.

Using Data Science in Space 🚀💫The @VRubinObs Legacy Survey of Space and Time's images of the southern hemisphere of the sky will offer data about the cosmos at a scale and complexity never before seen in the field of astrophysics. 🧵⤵️

@KaveriThakoor created an AI-powered tool to help in diagnosing eye disease. It's designed to act as a partner—trained by physicians for physicians—& is capable of explaining its diagnostic choices, akin to a human clinician. Read about her important work:

Big news: @KaveriThakoor received the prestigious @RPB_org Tom Wertheimer Career Development Award in Data Science to support eye research!. This award is a testament to the impact her work will have on people around the world.