Justin Kinney Archives | ��ϳԹ��Դ

School of Biological Sciences launches BioAI Ph.D. program

Nick Wurm — Thu, 04 Dec 2025 12:30:10 +0000

AI and machine learning have transformed science, enabling new discoveries and laying the groundwork for lifesaving treatments. Yet, as valuable as these tools may be for science and medicine, few if any formal degree programs exist at the intersection of biology and AI. For over 135 years, ��ϳԹ��Դ (CSHL) has been a...

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In nature’s math, freedoms are fundamental

Samuel Diamond — Wed, 28 May 2025 11:30:07 +0000

Numbers have a funny way about them. Young math students are taught various strategies to make problem-solving easier. Comparing fractions? Find a common denominator or convert to decimals. The strategies get more complex when doing the kind of math used to describe the activities of DNA, RNA, or protein sequences. In science, when you make...

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At the Lab Season 1 Research Rewind: AI+

Communications Department — Tue, 29 Oct 2024 11:30:55 +0000

How do we interpret what AI tells us without knowing the logic of its own interpretations? How do we make artificial intelligence more efficient and reliable without fully understanding biological intelligence’s efficiency and reliability problems? This season’s final Research Rewind brings us from the realm of quantitative biology to neuroscience, genomics, and beyond. You’ll hear...

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At the Lab Episode 17: AI SQUID

Communications Department — Tue, 30 Jul 2024 11:30:05 +0000

We could have also titled this At the Lab episode “20,000 leagues under the genome.” This week, you’ll hear all about SQUID, the new artificial intelligence tool from CSHL Assistant Professor Peter Koo and Associate Professor Justin Kinney. How can this AI help scientists crack the mysteries of the genome? Tune in to find out.

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SQUID pries open AI black box

Luis Sandoval — Fri, 21 Jun 2024 09:00:16 +0000

Artificial intelligence continues to squirm its way into many aspects of our lives. But what about biology, the study of life itself? AI can sift through hundreds of thousands of genome data points to identify potential new therapeutic targets. While these genomic insights may appear helpful, scientists aren’t sure how today’s AI models come to...

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Why some RNA drugs work better than others

Jennifer Michalowski — Wed, 06 Mar 2024 12:30:20 +0000

Spinal muscular atrophy, or SMA, is the leading genetic cause of infant death. Less than a decade ago, ��ϳԹ��Դ (CSHL) Professor Adrian Krainer showed this brutal disease can be treated by tweaking a process called RNA splicing. This breakthrough resulted in Spinraza, the first effective treatment for SMA. It also opened a...

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President’s essay: Bringing bold visions to life

Communications Department — Fri, 26 May 2023 11:30:08 +0000

The art of high-impact research, which is at the core of ��ϳԹ��Դ (CSHL), is to pursue important questions, follow unanticipated leads, and be bold in crafting new ideas. In this way, we challenge our researchers to move science into new frontiers. While our scientists have freedom to pursue their ideas, they are...

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The rise of RNA therapeutics

Communications Department — Thu, 14 Oct 2021 11:30:27 +0000

« Previous Story Next Story » Most American newborns will arrive home from the hospital and start hitting their developmental milestones, to their parents’ delight. They will hold their heads up by about three months. They will sit up by six months. And they will walk by around their first birthday. But about 1 in...

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Calculating the path of cancer

Jennifer Michalowski — Mon, 04 Oct 2021 17:00:02 +0000

Biologists at ��ϳԹ��Դ (CSHL) are using a mathematical approach developed in CSHL Assistant Professor David McCandlish’s lab to find solutions to a diverse set of biological problems. Originally created as a way to understand interactions between different mutations in proteins, the tool is now being used by McCandlish and his collaborators to...

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Finally, machine learning interprets gene regulation clearly

Brian Stallard — Thu, 26 Dec 2019 14:00:20 +0000

In this age of “big data,” artificial intelligence (AI) has become a valuable ally for scientists. Machine learning algorithms, for instance, are helping biologists make sense of the dizzying number of molecular signals that control how genes function. But as new algorithms are developed to analyze even more data, they also become more complex and...

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Peter Koo wants to understand how machines learn biology

Charlotte Hu — Fri, 20 Sep 2019 13:00:59 +0000

The science world is sitting at the cusp of an artificial intelligence revolution that impacts applications such as speech recognition and computer vision. Peter Koo is on the front line of those changes. As ��ϳԹ��Դ’s new Assistant Professor at the Simons Center for Quantitative Biology, Koo will explore how AI integrates with...

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Public Lecture: Seeing With Sequencing

Public Affairs Administrator — Thu, 08 Aug 2019 15:58:37 +0000

Come hear from three quantitative biologists as they discuss how they see with sequencing to solve mysteries ranging from the genetics of evolution.

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Seeing with sequencing—A public lecture with three CSHL experts

Communications Department — Fri, 19 Apr 2019 18:15:03 +0000

Over 400 years ago, the invention of the microscope opened up a new world of discovery. Just sixteen years ago, the completion of the Human Genome Project launched a similar revolution in science.

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The big problem of small data: A new approach

Brian Stallard — Thu, 18 Oct 2018 16:00:14 +0000

Cold Spring Harbor, NY — Big Data is all the rage today, but Small Data matters too! Drawing reliable conclusions from small datasets, like those from clinical trials for rare diseases or in studies of endangered species, remains one of the trickiest obstacles in statistics. Now, ��ϳԹ��Դ (CSHL) researchers have developed a...

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Predicting how splicing errors impact disease risk

Jennifer Michalowski — Thu, 30 Aug 2018 17:13:55 +0000

www.khanacademy.org)" data-description="" />Cold Spring Harbor, NY – No one knows how many times in a day, or even an hour, the trillions of cells in our body need to make proteins. But we do know that it’s going on all the time, on a massive scale. We also know that every time this happens, an editing process...

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CSHL receives $50 million to establish Simons Center for Quantitative Biology

Dagnia Zeidlickis — Mon, 07 Jul 2014 06:28:00 +0000

��ϳԹ��Դ (CSHL) today announced a $50 million gift from Jim and Marilyn Simons to establish the Simons Center for Quantitative Biology. Cold Spring Harbor, NY — ��ϳԹ��Դ (CSHL) today announced a $50 million gift from Jim and Marilyn Simons to establish the Simons Center for Quantitative Biology. The Center...

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Researchers propose new way to make sense of ‘Big Data’

Communications Department — Sat, 15 Feb 2014 05:00:34 +0000

Justin Kinney and Gurinder Atwal collaborated to show how a fundamental mathematical quantity called “mutual information” can be used to detect and quantify relationships between variables in large, noisy datasets.

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Justin Kinney Archives | ���ϳԹ���Դ