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Regeneron Science Talent Search 2025 Awards More Than $1.8 Million to High School Seniors for Innovative Research on Classifying Celestial Objects, Treating a Rare Muscle Disease and Solving a Long-Standing Math Problem

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$250,000 top award goes to Matteo Paz in America’s longest running and most distinguished science and math competition

TARRYTOWN, N.Y. and WASHINGTON, March 11, 2025 /PRNewswire/ — Regeneron Pharmaceuticals, Inc. and Society for Science (the Society) announced that Matteo Paz, 18, of Pasadena, California, won the top award of $250,000 in the 2025 Regeneron Science Talent Search, the U.S.’s oldest and most prestigious science and math competition for high school seniors.

Now in its 84th year, the competition celebrates and rewards young innovators who are applying their Science, Technology, Engineering and Math (STEM) talent and leadership skills to push the boundaries of discovery and address today’s pressing challenges.

Forty finalists, including Matteo, were honored this evening during an award ceremony at the National Building Museum in Washington, D.C, where they were awarded more than $1.8 million in prizes for their groundbreaking research, exceptional problem-solving skills and potential to shape the future of STEM.

Matteo Paz, 18, of Pasadena, California, won first place and $250,000 for designing machine-learning algorithms to efficiently comb through 200 billion entries of raw NEOWISE infrared full-sky data. By analyzing tiny changes in infrared radiation, the AI sorted the objects into 10 classes. He found 1.5 million new potential objects.

Second place and $175,000 went to Ava Grace Cummings, 18, of Smithfield, North Carolina, for creating a fruit fly model of STAC3 disorder, or Native American myopathy (a rare genetic muscle disease). She found that the common nettle herb, alone or combined with the experimental drug Tirasemtiv, improved movement in both adult flies and larvae.

Third place and $150,000 went to Owen Jianwen Zhang, 18, of Bellevue, Washington, who solved a long-standing math problem about objects called 3-uniform hypergraphs. He proved a maximum value for how many 3-uniform hypergraphs can have similar structures but differing connections. Owen’s results have applications in computer science.

“Congratulations to the winners of this year’s Regeneron Science Talent Search,” said Maya Ajmera, President and CEO, Society for Science and Executive Publisher, Science News. “The remarkable creativity and dedication of these students bring renewed hope for our future. Driven by their ingenuity, these young scientists are developing groundbreaking solutions that have the potential to transform our world and propel society forward.” 

The Regeneron Science Talent Search provides a national platform for high school seniors to showcase original, innovative STEM research that proposes novel solutions to real-world issues. Finalists are evaluated for their scientific rigor, originality, critical thinking, leadership potential and commitment to drive meaningful impact across crucial STEM fields.

“The Science Talent Search changed my life. At my high school, STS winners were treated like star athletes, and I never imagined I would belong in such an amazing group of kids who were operating at a whole different level than I had ever seen,” said George D. Yancopoulos, co-Founder, Board co-Chair, President and Chief Scientific Officer of Regeneron and a 1976 Science Talent Search finalist and top winner. “The experience of competing in STS and being named a top winner gave me the confidence to devote my life to science. So, congratulations to this year’s finalists and winners, you are America’s best and brightest. I hope this moment inspires you to push boundaries, challenge assumptions and use your brilliance to change the world.”

Other top honors from the competition include:

Fourth Place: Logan Lee, 18, of Honolulu, Hawaii received a $100,000 award for helping sterile male mosquitoes survive in the wild. These males are important in mosquito control. Logan improved their survival by giving them a transplant of wild mosquito bacteria. His transplant helped the sterile mosquitoes grow faster and survive better in the wild.

Fifth Place: Rivka Lipkovitz, 18, of San Francisco, California received a $90,000 award for using statistical modeling to study U.S. voter ID laws. She found that presidential election turnout dropped by 2.4% in states that passed strict laws after 2008. Turnout for midterm elections increased. Knowing how laws affect turnout can help shape future policies.

Sixth Place: Melody Heeju Hong, 17, of Wantagh, New York received a $80,000 award for developing a powerful, flexible statistical model for mapping sites called trans-methylation quantitative trait loci (trans-mQTL) within the human genome. These sites are key to understanding the interplay between genes and environment in disease and aging.

Seventh Place: Kevin Shen, 18, of Olympia, Washington received a $70,000 award for building a custom flight computer to control a 3D-printed airplane with oblique wings. These aircraft can be more fuel-efficient but are hard to control. His oblique-wing aircraft and flight computer improved flight efficiency by 9.2%.

Eighth Place: Minghao Zou, 18, of Santa Clara, California received a $60,000 award for simulating protons to probe environments that produce subatomic particles called neutrinos. He created an algorithm mimicking extreme astrophysical conditions, such as electromagnetic and gravitational forces and interactions with nearby particles. He verified it using known cases of particle motion.

Ninth Place: Thanush Patlolla, 17, of Cary, North Carolina received a $50,000 award for approximating the density of electrons using a finite nuclear model. Using a mathematical strategy called a density function, he created a model to map electrons in a nuclear simulation. The map increased the accuracy of energy distribution predictions by 0.6%.

Tenth Place: Ray Zhang, 17, of Chantilly, Virginia received a $40,000 award for studying how to better treat drug-resistant Fusarium fungal infections. Ray studied how the fungus builds sticky communities of cells that resist drug treatment. He also found that using a combination of drugs better controlled the fungus.

Akilan Sankaran, 17, of Albuquerque, New Mexico was named the Seaborg Award winner and selected to speak on behalf of the Regeneron Science Talent Search Class of 2025. The 40 finalists chose Akilan as the student who best exemplifies their class and the legacy of nuclear chemist Glenn T. Seaborg, who won the Nobel Prize for Chemistry in 1951 and served on the Society’s Board of Trustees for 30 years.

All other finalists received $25,000. All 40 finalists join a distinguished group of Science Talent Search alumni, many of whom have gone on to achieve world-changing careers in STEM, with some earning esteemed honors, including the Nobel Prize, National Medal of Science, and MacArthur Fellowship. In total, Regeneron awarded $3.1 million in prizes, including $2,000 to each top scholar and their school.

Learn more about Regeneron Science Talent Search at https://www.societyforscience.org/regeneron-sts/ and learn about all their research projects at our Virtual Public Showcase.

For media resources, visit  https://www.societyforscience.org/2025-regeneron-science-talent-search-media-kit

About Society for Science 
Society for Science is a champion for science, dedicated to promoting the understanding and appreciation of science and the vital role it plays in human advancement. Established in 1921, Society for Science is best known for its award-winning journalism through Science News and Science News Explores, its world-class science research competitions for students, including the Regeneron Science Talent Search, the Regeneron International Science and Engineering Fair and the Thermo Fisher Scientific Junior Innovators Challenge, and its outreach and equity programming that seeks to ensure that all students have an opportunity to pursue a career in STEM. A 501(c)(3) membership organization, Society for Science is committed to inform, educate and inspire. Learn more at www.societyforscience.org and follow us on Facebook, Twitter, Instagram and Snapchat (Society4Science).

About Regeneron 
Regeneron (NASDAQ: REGN) is a leading biotechnology company that invents, develops and commercializes life-transforming medicines for people with serious diseases. Founded and led by physician-scientists, our unique ability to repeatedly and consistently translate science into medicine has led to numerous approved treatments and product candidates in development, most of which were homegrown in our laboratories. Our medicines and pipeline are designed to help patients with eye diseases, allergic and inflammatory diseases, cancer, cardiovascular and metabolic diseases, hematologic conditions, infectious diseases and rare diseases.

Regeneron believes that operating as a good corporate citizen is crucial to delivering on our mission. We approach corporate responsibility with three goals in mind: to improve the lives of people with serious disease, to foster a culture of integrity and excellence and to build sustainable communities. Regeneron is proud to be included on the Dow Jones Sustainability World Index and the Civic 50 list of the most “community-minded” companies in the U.S. Throughout the year, Regeneron empowers and supports employees to give back through our volunteering, pro-bono and matching gift programs. Our most significant philanthropic commitments are in the area of science education, including the Regeneron Science Talent Search and the Regeneron International Science and Engineering Fair (ISEF).

For more information, please visit www.Regeneron.com or follow Regeneron on LinkedIn, Instagram, Facebook or X.

Media Contacts
Joseph Brown, Regeneron
386-283-1323, joseph.brown2@regeneron.com  

Gayle Kansagor, Society for Science
703-489-1131, gkansagor@societyforscience.org 

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Air Products to Expand Industrial Gas Supply for Samsung Electronics’ Next-Generation Semiconductor Fab in South Korea

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New investment underscores the company’s long-term commitment to Korea and its leading role in the global semiconductor industry 

LEHIGH VALLEY, Pa., April 29, 2026 /PRNewswire/ — Air Products (NYSE:APD), a world-leading industrial gases company and serving Samsung globally, today announced it has been selected by Samsung to supply industrial gases for its new advanced semiconductor fab in Pyeongtaek, Gyeonggi Province, South Korea.

Under the agreement, Air Products will build, own and operate multiple state-of-the-art production facilities and a bulk specialty gas supply system to supply nitrogen, oxygen, argon, and hydrogen for Samsung’s new semiconductor fab. The new facilities are expected to come onstream in multiple phases from 2028 through 2030.

Air Products has a long track record of executing multiple phase expansions in Pyeongtaek to support Samsung’s growing manufacturing needs. This latest project represents Air Products’ largest investment to date in the semiconductor industry and will establish Pyeongtaek as the company’s single largest operations site globally supporting the electronics industry. 

“Air Products is honored to be selected once again by Samsung and to have their continued confidence as a trusted partner supporting their strategic growth plans,” said SR Kim, President, Air Products Korea. “This significant investment reinforces Air Products’ role as a leading global supplier to the semiconductor industry and underscores our long-standing commitment to supporting our strategic customers with safety, reliability, efficiency and excellent service.”

Air Products has served the global electronics industry for more than 40 years, supplying industrial gases safely and reliably to many of the world’s leading technology companies. The company has operated in Korea for more than 50 years and has established a strong position in electronics and manufacturing sectors.

About Air Products

Air Products (NYSE: APD) is a world-leading industrial gases company in operation for over 85 years focused on serving energy, environmental, and emerging markets and generating a cleaner future. The Company supplies essential industrial gases, related equipment and applications expertise to customers in dozens of industries, including refining, chemicals, metals, electronics, manufacturing, medical and food. As the leading global supplier of hydrogen, Air Products also develops, engineers, builds, owns and operates some of the world’s largest clean hydrogen projects, supporting the transition to low- and zero-carbon energy in the industrial and heavy-duty transportation sectors. Through its sale of equipment businesses, the Company also provides turbomachinery, membrane systems and cryogenic containers globally.

Air Products had fiscal 2025 sales of $12 billion from operations in approximately 50 countries. For more information, visit airproducts.com or follow us on LinkedInXFacebook or Instagram.

This release contains “forward-looking statements” within the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on management’s expectations and assumptions as of the date of this release and are not guarantees of future performance. While forward-looking statements are made in good faith and based on assumptions, expectations and projections that management believes are reasonable based on currently available information, actual performance and financial results may differ materially from projections and estimates expressed in the forward-looking statements because of many factors, including the risk factors described in our Annual Report on Form 10-K for the fiscal year ended September 30, 2025 and other factors disclosed in our filings with the Securities and Exchange Commission. Except as required by law, we disclaim any obligation or undertaking to update or revise any forward-looking statements contained herein to reflect any change in the assumptions, beliefs or expectations or any change in events, conditions or circumstances upon which any such forward-looking statements are based.

View original content to download multimedia:https://www.prnewswire.com/news-releases/air-products-to-expand-industrial-gas-supply-for-samsung-electronics-next-generation-semiconductor-fab-in-south-korea-302757497.html

SOURCE Air Products

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