Lorena Anderson

A group of researchers at UC Merced has found that climate change means it takes about three months longer for California to recover from drought, and probably longer.

“Climate change has fundamentally changed the odds of getting out of drought. It has weighted the dice,” said Emily Williams, a postdoctoral scholar with the Sierra Nevada Research Institute. “This is happening because of warming in summer months, and a good portion of it is because of human-caused climate change.”

In Professor Xuecai Ge ’s lab, where UC Merced researchers study how cells talk to each other to develop and differentiate, a recent surprise discovery is lending insight as to how erroneous cell signals lead to disease and birth defects.

Ge and her colleagues zeroed in on a slice of the communication system, the primary cilia, and found a protein called Numb, which they didn’t expect to be there.

Numb facilitates development of the spinal cord and cerebellum during embryonic neurodevelopment.

Professor Shahar Sukenik has been a faculty member for only 5 1/2 years, but he has already built an impressive resume, becoming a leader in his research field, an innovator and an exceptional communicator.

Those qualities helped him become UC Merced’s first recipient of the Alfred P. Sloan Foundation’s Sloan Research Fellowship.

Graduate student Samuel Leventini comes from a long line of educators, and the tribology researcher thinks he might want to follow in those footsteps.

Thanks to a new supplemental grant from the National Science Foundation (NSF), Leventini will get the opportunity to find out if teaching is really the path for his life.

UC Merced is part of several new initiatives aimed at increasing the accessibility and inclusivity of data science studies and opening new opportunities for historically underserved students after graduation.

New grants from the National Science Foundation (NSF), the Department of Energy (DOE) and the California Learning Lab are funding collaborations with a sister campus and several community colleges as well as the Joint Genome Institute (JGI) to accomplish these goals.

A UC Merced researcher and her teammates around the world have succeeded in measuring the total amount of matter in the universe for the second time.

A new paper in the Astrophysical Journal, titled “Constraining Cosmological Parameters using the Cluster Mass-Richness Relation,” shows that matter makes up 31% of the universe, with the remainder consisting of dark energy — answering one of the most interesting and important questions in cosmology.

Professor Martha Conklin started her career at UC Merced at the Castle Research Facility, and it began with a frightening surprise.

“I had a baby rattlesnake in my office,” she said. “The whole building was snake-infested before UC Merced moved in. But it's a small thing — there were a lot of things to work out back then.”

Four UC Merced researchers will share in the new California Climate Action Seed Grants and Matching Grants, which are the result of an historic partnership between the University of California and the state of California.

The University today announced it is awarding over $80 million in climate action grants to spur implementation of solutions that directly address state climate priorities.

Being able to accurately predict how the climate will change in the future is one of the most important quests of our lifetimes. A key to better prediction is the fundamental understanding of how particles in the atmosphere are connected to climate and climate change. One way to do that is to better understand the interactions between desert dust particles and radiation — from the sun and the Earth's surface.

About 20 UC Merced students spent the past two weeks working at Lawrence Livermore National Laboratory (LLNL) to see if they can solve a problem that could have a significant impact on cardiology.

The annual Data Science Challenge (DSC), a two-week, full-time internship at LLNL, this year teamed students from Merced and UC Riverside. They attempted to see if machine learning could address a gap in the information provided by the common electrocardiogram (ECG) test.