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Washington Research Foundation awards 12 three-year postdoctoral fellowships

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Early-career researchers will complete projects in natural sciences and engineering at Fred Hutch Cancer Center, the University of Washington and Washington State University to address areas of urgent public need

SEATTLE, Dec. 18, 2024 /PRNewswire-PRWeb/ — Washington Research Foundation (WRF) has awarded three-year postdoctoral fellowships to 12 early-career researchers to enable them to solve important problems in the natural sciences and engineering. The incoming cohort of WRF Postdoctoral Fellows will complete projects of their own design at Fred Hutch Cancer Center (Fred Hutch), the University of Washington (UW) and Washington State University (WSU), working in areas that include biomedical sciences, renewable energy and crop sustainability.

“Our goal is to improve a fundamental bottleneck in biological research—accurate and accessible assembly of many DNA sequences, which can accelerate discovery efforts in fundamental biology to therapeutic development.” David Mai, Ph.D.

WRF is currently supporting 35 Fellows and has awarded a total of 90 fellowships since it launched the program in 2018. Fellowships include three years of salary, benefits and expenses support to enable researchers to carry out investigations that aim to significantly advance scientific knowledge in their fields. The long-term goal is that the Fellows’ work will contribute to the creation of new products, services and practices that will improve lives.

In addition to financial support, WRF provides Fellows with networking and professional development opportunities, including participation in an annual symposium to showcase their research and learn from their peers. Alumni have progressed to a range of positions in academia and industry. Norma Morella, Ph.D., and Caleb Stoltzfus, Ph.D., who completed fellowships that began in 2020 and 2019, respectively, now serve as members of the program’s selection committee.

The incoming cohort of WRF Postdoctoral Fellows will begin their projects in 2025.

    David Brenes earned his Ph.D. in bioengineering from Rice University. During his WRF fellowship at UW Mechanical Engineering, he will develop an AI-driven light-sheet microscope for intraoperative margin assessment to help surgeons achieve complete tumor removal during breast-conserving surgeries.    Ethan Campbell completed his Ph.D. in oceanography at UW. As a WRF Fellow at UW’s Applied Physics Laboratory, he will explore how snowfall and storm events in the Southern Ocean impact the release of ocean heat and the future trajectory of sea ice around Antarctica.    Alexandra (Allie) Cheney earned a doctorate in biochemistry at Montana State University. In the Basic Sciences Division at Fred Hutch, she will use fluorescent microscopy, metabolomics and genomics approaches to investigate the role of the enteric nervous system in sensing infectious microbes in the gut.    Faris Horani completed his doctorate in chemistry at the Technion–Israel Institute of Technology. In the University of Washington’s Department of Chemistry, he will advance the colloidal synthesis of lead-free iodide elpasolite (double perovskite) semiconductor nanocrystals, focusing on their unique structural, electronic and magneto-optical properties for a range of medical and consumer applications.    Zukai Liu earned his Ph.D. in genetics and developmental biology at UConn Health Center and The Jackson Laboratory for Genomic Medicine. In the UW Department of Genome Sciences and Institute for Stem Cell & Regenerative Medicine, he will continue to utilize stem cell-based models to study human early embryonic development and dissect the genetic basis of birth defects.    Alina Lorant completed her Ph.D. in the Department of Immunology at the University of Washington. At Fred Hutch, she will work to determine the role of myeloid cells in educating immune tolerance in early life.    David Mai earned a doctorate in bioengineering at the University of Pennsylvania. At Fred Hutch, he will develop new technologies for assembling large libraries of longer DNA sequences to advance research in fundamental biology to therapeutic discovery.    Jacob Pitt completed a Ph.D. in ecology at Colorado State University. At the WSU Tree Fruit Research and Extension Center, he will use electrical circuitry-based techniques to identify insect feeding and mating behaviors that contribute to transmission of a plant pathogen affecting cherry trees.    Pooja Srinivas earned her Ph.D. in pharmacology at Emory University. In the UW Department of Microbiology, she will be probing regulation of differentiation in ultrasmall bacteria using novel genetic techniques.    Sara Sunshine completed her Ph.D. in biomedical sciences at the University of California, San Francisco. In the Basic Sciences Division at Fred Hutch, she will develop a high-throughput assay to simultaneously quantify neutralizing antibody titers to a spectrum of human viruses.    Danyang Wang earned her Ph.D. in reproductive biology at the University of Copenhagen, Denmark. In the Department of Obstetrics and Gynecology at the University of Washington, she will investigate a new stem cell-based therapy for primary ovarian insufficiency, a significant cause of female infertility, and explore the mechanisms underlying it.    Xiaodi Wang completed her Ph.D. in medical entomology at the University of Florida. In the UW Department of Biology, she will use behavioral and neurophysiological assays, along with genetic modification techniques, to understand molecular and neural bases underlying mosquito host-seeking and blood-feeding behaviors upon malaria parasite infection.

Aimée Dudley, Ph.D., of the Pacific Northwest Research Institute and Daniel Slichter, Ph.D., of the National Institute of Standards and Technology, co-chair the national committee that selected the Fellows.

“By supporting this group of innovative, dynamic young scientists, WRF is investing in the future,” Slichter said. “The WRF Postdoctoral Fellowship program is designed to support the brightest and most talented scientific minds early in their careers, enabling them to establish themselves as leaders in industry, academia and public service, and strengthening the scientific ecosystem of Washington and beyond.”

“This group of intelligent, innovative and collaborative scientists was chosen from a large and incredibly competitive pool of applicants,” Dudley said. “These early-career scientists represent a diverse set of expertise, research interests and life experiences. I’m excited to see what they accomplish, both individually and collectively.”

David Mai, Ph.D., will carry out his fellowship at Fred Hutch, focusing on the discovery of new technologies that could improve the development of therapeutics.

“Our goal is to improve a fundamental bottleneck in biological research—accurate and accessible assembly of many DNA sequences, which can accelerate discovery efforts in fundamental biology to therapeutic development,” Mai said. “Support through the WRF allows us to fully tackle this ambitious methods development project even though most research efforts are directed toward exploring new biology or creating new medicines.”

“WRF is proud to support this exceptional group of postdoctoral Fellows as they embark on projects addressing some of the most pressing challenges of our time,” said Clarisse Benson, manager of student and postdoctoral programs at WRF. “Their innovative approaches, collaborative efforts, and dedication to advancing science and engineering hold immense promise for driving impactful solutions and creating a brighter future for our communities and beyond.”

The application for WRF Postdoctoral Fellowships beginning in 2026 will open in May 2025.

About Washington Research Foundation:

Washington Research Foundation (WRF) supports research and scholarship in Washington state, with a focus on life sciences and enabling technologies.

WRF was founded in 1981 to assist universities and other nonprofit research institutions in Washington with the commercialization and licensing of their technologies. WRF is one of the foremost technology transfer and grant-making organizations in the nation, having earned more than $445 million in licensing revenue for the University of Washington and providing over $160 million in grants to the state’s research institutions to date.

WRF Capital, the investment vehicle for Washington Research Foundation, has backed 132 local startups since 1996. Returns support the Foundation’s investment and grantmaking programs.

For more information, please visit wrfseattle.org.

Media Contact

Dale Wadman, Washington Research Foundation, (206) 336-5600, dale@wrfseattle.org, https://www.wrfseattle.org/ 

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SOURCE Washington Research Foundation

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Safetyfirst Systems, LLC Provides Notice of Data Security Event

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PARSIPPANY, N.J., July 23, 2026 /PRNewswire/ — Safetyfirst Systems, LLC (“SFS”) is providing notice of a data security event that may involve information relating to certain individuals. While SFS is not aware of any misuse of information associated with this event, it is providing notice to potentially affected individuals out of an abundance of caution.

On January 19, 2026, SFS identified suspicious activity involving a limited portion of its server environment. Upon discovering the activity, SFS quickly took steps to secure its systems, notified federal law enforcement, engaged leading third-party forensic specialists, and performed a detailed investigation into the nature, scope, and impact of the activity. The investigation determined that an unauthorized actor accessed and/or acquired certain files from limited SFS systems between January 16, 2026, and January 19, 2026. SFS then conducted a comprehensive review of the affected files to determine what information may have been involved and identify the individuals to whom the information relates. The review has recently concluded, and SFS is providing this notification to potentially impacted individuals out of an abundance of caution. Although the types of information vary by individual, the affected information may include names, Social Security numbers, and driver’s license numbers.

Protecting the privacy and security of the information entrusted to SFS is a responsibility the company takes very seriously. In response to this event, SFS promptly strengthened security measures, continues to enhance its technical safeguards and monitoring capabilities, and is reviewing existing policies and procedures to further protect against similar incidents in the future. SFS is also providing notice to potentially affected individuals and, where required, appropriate regulatory authorities.

Although SFS is unaware of any misuse of personal information impacted by this event, individuals are encouraged to remain vigilant against events of identity theft by reviewing account statements, explanation of benefits, and monitoring free credit reports for suspicious activity and to detect errors. Any suspicious activity should be reported to the appropriate insurance company, health care provider, or financial institution.

Individuals seeking additional information regarding this event can contact SFS’s dedicated assistance line at 1-833-289-5523 between the hours of 7:00 a.m. to 7:00 p.m. Eastern time, Monday through Friday, excluding holidays. Individuals may also write to SFS at PO Box 101, 3299 US Highway 46, Parsippany, NJ 07054-9998.

 

View original content:https://www.prnewswire.com/news-releases/safetyfirst-systems-llc-provides-notice-of-data-security-event-302831894.html

SOURCE Safetyfirst Systems, LLC

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Sunrate and Mastercard Release White Paper on Agentic AI and the Future of B2B Global Payments

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SHANGHAI, July 24, 2026 /PRNewswire/ — Sunrate, the global payment and treasury management platform, and Mastercard, a global technology company in the payments industry, unveiled a joint white paper, Beyond Automation: Defining Agentic Global Payments, at the 2026 World Artificial Intelligence Conference (WAIC).

Among the first reports in the payments industry to examine the impact of Agentic AI on B2B cross-border payments, the white paper provides a comprehensive framework for understanding how AI agents are reshaping enterprise payment operations. It proposes that cross-border payments are evolving beyond digitisation and automation into a new stage: Autonomy—where AI agents with reasoning, planning, and execution capabilities can independently orchestrate and optimise end-to-end payment and treasury workflows within defined governance frameworks.

As businesses expand across borders, B2B cross-border payments continue to be constrained by fragmented workflows, disconnected systems, foreign exchange inefficiencies, rising compliance requirements, and complex reconciliation processes. While traditional automation improves individual tasks, the white paper demonstrates that Agentic AI represents a fundamental shift by enabling intelligent agents to coordinate entire payment journeys across systems, counterparties, and approval workflows.

Drawing on Sunrate’s global payment infrastructure and AI-native product capabilities, together with Mastercard’s expertise in secure payment networks and data intelligence, the white paper defines Agentic Global Payments — a new category of AI-native global payment infrastructure built to automate and manage complex enterprise workflows.

The report identifies 16 major pain points across the B2B payment lifecycle and outlines 13 high-value AI use cases spanning supplier onboarding, accounts payable and receivable, virtual commercial cards, payment routing, foreign exchange management, compliance screening, fraud detection, reconciliation, and conversational operational support. It also demonstrates how AI agents can automate complex workflows—from extracting information across multiple document formats and conducting compliance checks to initiating payments, optimising FX execution, and completing reconciliation—while operating within enterprise governance and control frameworks.

The white paper further highlights that trusted adoption of agentic payments depends on more than technological capability. It identifies governance, transparency, security, and ecosystem collaboration as essential foundations for enterprise deployment, supported by frameworks such as Know Your Agent (KYA), payment tokenisation, auditability, and cross-industry interoperability.

Sunrate.AI portfolio currently includes the Payment Agent, FX Agent, Compliance Agent, Onboarding Agent, and Chat Agent, designed to help enterprises automate and optimise critical payment and treasury processes while maintaining compliance and operational control.

Mastercard has also been actively building the foundations for trusted agentic commerce – combining AI capabilities with verifiable authorisation, clear accountability and proven payments security. Its work in this area, including Agent Pay (alongside Agent Pay for Machines) and Verifiable Intent, are proof points in how Mastercard is enabling AI to participate in commerce safely and transparently. 

“Our mission is to make global payments seamless, compliant, and intelligent,” said Paul Meng, Co-founder and CEO of Sunrate. “As businesses continue expanding internationally, AI agents will fundamentally reshape how enterprises manage global payments—enabling smoother capital flows, reducing operational friction, and embedding real-time intelligence into every payment decision. This white paper represents an important step in helping the industry understand how Agentic AI can be deployed responsibly at enterprise scale.”

“Agentic commerce is changing how businesses make and execute payment decisions, but speed without accountability creates new categories of risk,” said Anouska Ladds, Executive Vice President, Commercial & New Payment Flows, Asia Pacific, Mastercard. “As AI starts to act on behalf of businesses, autonomous payment decisions need a clear, auditable chain of identity, intent and action. That’s what allows organisations to delegate with genuine confidence — and what will determine whether agentic commerce scales past pilots.”

Released under WAIC 2026’s theme, “Intelligent Partners, Co-creating the Future,” the white paper provides business leaders with practical guidance on adopting AI-driven payment capabilities, covering implementation approaches, governance considerations, and real-world enterprise applications.

By combining Sunrate’s expertise in global payments and treasury management with Mastercard’s trusted payment infrastructure and network capabilities, the collaboration reflects a shared commitment to accelerating the next generation of intelligent, secure, and autonomous B2B global payments.

Click here to check the white paper.

About Sunrate

Sunrate is a leading global payment and treasury management platform for businesses worldwide. Founded in 2016, Sunrate has enabled companies to operate and scale both locally and globally in 190+ countries and regions with its cutting-edge infrastructure, global network, and unified solutions.

Sunrate operates through offices across key markets, including Singapore, Kuala Lumpur, Jakarta, Hong Kong, Shanghai, and London. The company partners with the top global financial institutions, such as Citibank, Standard Chartered, Barclays, J.P. Morgan. Sunrate is also the principal member of Mastercard and Visa. To learn more about Sunrate, visit https://www.sunrate.com/.

About Mastercard

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. 

www.mastercard.com

SOURCE Sunrate

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data able to stay onshore inside their own network

SYDNEY, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that need operational data to stay onshore, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model can run on the customer’s own hardware, keeping operational data onshore.”

“For teams across Australia, New Zealand, and Singapore, two things matter: keeping data onshore, and getting answers when a job fails after hours,” said Shayne Cooper, Account Executive for APAC at JAMS Software. “JAX and JAMS MCP address both. The model can run on the customer’s own hardware, and the answer arrives in plain language at the moment it is needed.”

JAX and JAMS MCP are available now to all JAMS Web customers across Australia, New Zealand, and Singapore, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software
Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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View original content:https://www.prnewswire.com/apac/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-302833800.html

SOURCE JAMS Software

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