cl939, Author at Cornell Engineering

MOCVD system to drive exploration of next-gen nitride materials

A custom-built, metal-organic chemical vapor deposition system in Duffield Hall will help forge new directions for nitride semiconductors, materials best known for enabling LEDs and 5G communications.

Key driver of pancreatic cancer spread identified

A new study revealed how a deadly form of pancreatic cancer enters the bloodstream, solving a long-standing mystery of how the disease spreads and identifying a promising target for therapy.

Samsara, Meraki co-founder honored at entrepreneurship celebration

More than 300 alumni, students, faculty, staff and community members joined Celebration Ezra 2025 on April 10-11, to network, get inspired and honor the Cornell Entrepreneur of the Year John Bicket ’02.

AI system can analyze serial medical images

A new AI-based system for analyzing images taken over time can accurately detect changes and predict outcomes, which may be useful across a wide range of medical and scientific applications.

Innovators Encourage Scientists and Physicians to Dive into Technology Commercialization

When Dr. Tamatha Fenster received a call from a young patient requesting a refill on her Oxycodone for pelvic pain, she was faced with a dilemma: letting the patient remain in pain or refill a prescription and perpetuate an opioid dependency.

Cornell Keynotes podcast: How to transition to management

Cornell lecturer Dirk Swart shares how employees can elevate their managerial and business acumen to transition into management in a new episode of the Cornell Keynotes podcast.

Psychedelics excite cells in hippocampus to reduce anxiety

A classic psychedelic was found to activate a cell type in the brain of mice and rats that silences other neighboring neurons, providing insight into how such drugs reduce anxiety.

Martin Y. and Margaret Lee Tang Hall named for major gift to Engineering

The facility is the first to be built on the Pew Engineering Quad in two decades.

Diagnostic tool identifies puzzling inflammatory diseases in kids

A Cornell-led collaboration developed machine-learning models that use cell-free molecular RNA to diagnose pediatric inflammatory conditions that are difficult to differentiate.

New approach moves cell therapy closer to treating many disorders

The study paves the way for using the novel manufacturing process and quality controls to move cell therapy production further along toward applying it in a clinic.