Rougly half of patients do not take psychotropic drugs as prescribed, especially those in underserved communities, according to A:Care. To address this, a team of eight Ying Wu College of Computing undergraduate students created "Sidekick," a mental-health side-effect tracker that earned third place at the 2025 Pfizer Digital Hackathon.

Vibha Venkataraman ’26 (Data Science) and Tina Thai ’26 (Computer Science), two students in NJIT’s Ying Wu College of Computing (YWCC) and both Albert Dorman Honors College scholars, will have added their respective first and second place wins during this year’s Bank of America (BOA) Codeathon to an already impressive list of achievements when they graduate in May.

New research from New Jersey Institute of Technology and Yale University, intended to help identify obscure patterns in overwhelmingly large and convoluted data, is producing novel side effects that advance the state of very old and very new technology.

NJIT Distinguished Professor David Bader said the inspiration for a joint $540,000 National Science Foundation grant, “Scalable Algorithmic and Software Foundations for Subgraph Counting and Enumeration," is that existing pattern-finding science is struggling to keep pace with modern data sets.

Graduating NJIT senior Danielle Grunwald and her employer as of this summer, Axtria Inc., are made for each other — Grunwald loves digging into life sciences data to extract useful insights, and that’s the gist of what Axtria does.

Grunwald is wrapping up her studies with a B.S. in data science from Ying Wu College of Computing. She was also an Albert Dorman Honors College scholar, the only female member of the NJIT bowling team (personal high score 268), active with the Nucleus yearbook and an event coordinator for the Student Activities Council.

A competition to compare the brains of male vs. female fruit flies led New Jersey Institute of Technology researchers and two high school students to a second-place finish in the latest edition of the FlyWire Data Challenge, but more importantly the team learned new lessons about using artificial intelligence for setting up research with supercomputers.

An NJIT computational research team made impressive strides at the Princeton FlyWire Codex Data Challenge. Teams were tasked to solve a highly complex problem: analyzing the intricate network of neurons in the brain of a Drosophila melanogaster — commonly known as the fruit fly. Teams had to treat this neural network as a massive, interconnected graph and work to determine the best possible ordering of neurons. The goal was to maximize the efficiency of the brain's neural pathways, creating an optimal flow of information within this tiny but surprisingly complex system.

Expert panelists took a measured tone about the trends, challenges and ethics of artificial intelligence, at a campus forum organized by NJIT’s Institute for Data Science this month.

A cornerstone of NJIT's annual Homecoming Weekend, the Alumni Achievement Awards recognize alumni whose professional and personal achievements stand as a testament to the values instilled at NJIT. The 2024 awardees include pioneers in green technology, public health, architecture and entrepreneurship.

Research from New Jersey Institute of Technology (NJIT) addresses a critical issue in AI-powered code generation: the prevalence of security vulnerabilities. Ph.D. student Khiem Ton and his colleagues have developed SGCode, a system that combines advanced AI techniques with security analysis tools to detect and fix potential security flaws as code is being created.