Love Data Week
Love Data Week is our annual university-wide event focused on building data & AI literacy across all disciplines and roles. This year's event runs February 9-13, 2026, with the theme […]
Love Data Week is our annual university-wide event focused on building data & AI literacy across all disciplines and roles. This year's event runs February 9-13, 2026, with the theme […]
From concept to creation to presentation, your poster is a tool to convey your research and projects. By attending this workshop series, you will learn and hone valuable skills to […]
Help save disappearing government data in this hackathon, in which you will learn how to identify, capture, and preserve federal data that is at risk for deletion or alteration. Attendees of all skill […]
The Procure-to-Pay (P2P) department is excited to announce our second annual Research Supplier EXPO which is scheduled on Wednesday, MARCH 11. Over 30 suppliers supporting Northeastern's research enterprise will be participating to […]
Looking to illustrate your data? Join our Data Visualization Drop-In sessions Tuesdays from 10-11am on Zoom to discuss strategies or receive feedback on your data visualization process.
Graduate students, do you need to increase your on-line presence or update your CV or Resume? Join the CommLab’s LinkedIn, CV, and Resume drop-in hours any Tuesday from 11 am […]
Spring 2026, West Village H Room 366, Fridays 10-11am, Weekly Gregory A. Fiete, Professor of Physics, College of Science, Northeastern University Purpose and Synopsis: Curious about quantum physics but not […]
“Symmetry Control of the Anomalous Hall Effect in Altermagnetic MnTe” Prof. Alberto De la Torre Duran Northeastern University Feb 11, 2026, 11:00am – 12:00pm Venue: Elliott Hall – Room 130C […]
BIOE 7390 - Spring 2026 Bioengineering Seminar Series Schedule Internal and external faculty seminar speakers, weekly 12-1pm on Wednesdays in Richards Hall 300 JANUARY 1/7 - Jonathan Weissman, PhD Professor […]
Wednesday of February 11 | 12:00–1:00 PM ET – Anas Nizami, “From Graduate Study to Industry: AI in Practice at Intel”
Explore the transition from academia to industry and how AI research is applied at scale within a global technology leader.