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Trailblazers and Innovators: Kellanova Women in STEM

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CHICAGO, Feb. 11, 2025 /PRNewswire/ — International Day of Women and Girls in Science, celebrated annually on February 11, highlights the vital contributions of women in science, technology, engineering, and mathematics (STEM) while promoting inclusion in these historically male-dominated fields. Recognized by the United Nations, the day inspires future innovators and underscores the importance of diverse voices in solving global challenges.

At Kellanova, we value the contributions of our thousands of talented people and are proud to have many excelling in STEM fields. Today, we’re highlighting four remarkable women from across our regions who exemplify innovation, creativity, and leadership in recognition of the 10th anniversary of this United Nations Day.

Region:  Latin America / Mexico
Claudia Arboleda Tamayo, Senior Director, Manufacturing

Q. Tell us about your role at Kellanova:

I lead a high-performing team, driving operational strategy, risk management, and budget efficiency. I also standardize work systems across our Mexico plants to enhance operational excellence while fostering team growth.

Q. What inspired you to pursue a career in STEM?

I have a minor in International Business, not a STEM field, but 25 years ago I realized problem-solving was my strength, and it ultimately led me to a career in Supply Chain. There’s immense satisfaction in overcoming countless challenges—like COVID—and seeing a product on the shelf, knowing I made that possible.

Q. Was there a specific moment or person that influenced your decision to enter this field?

Two key factors shaped my decision to pursue Supply Chain, which became clear a few years into my career. I’m from Colombia, where my father ran a transportation business. At the time, logistics infrastructure was underdeveloped, with only 30% of roads paved, limited security, and manual processes at ports. As Colombia opened to global markets, I began to wonder, “What if we could help make a difference?”

Q. What advice do you wish someone would have given you when you were starting out, if any?

I wish someone had told me how crucial networking is, on par with technical skills, for both personal and professional growth. Perhaps the most valuable advice would have been to prioritize work-life balance. Be responsible, brave, and proactive in your life just as you are in your career.

Q. What advice would you give to young people interested in STEM?

You can choose to go into STEM at any point in your life, just dream big and go for it!

 Region: Europe

Loretta Franks, VP Global Chief Data & Analytics Officer (CDAO)

Q. Tell us about your role at Kellanova:

I lead a talented data & analytics team specializing in data science, engineering, technology, and governance, helping Kellanova leverage AI and Machine Learning responsibly for added value. As Global IT’s Executive STEM inclusion sponsor, I champion initiatives worldwide to amplify awareness and drive greater inclusion.

Q. What inspired you to pursue a career in STEM?

I’ve always loved STEM. In school, I studied Math, Physics, and Economics in the UK before earning a degree in Math and Economics. Numbers, facts, analytics, and logic have always been my preference over art or literature. My career began in Finance in Europe, and through diverse roles and experiences, I now lead a global role delivering data and analytics capabilities for our organization.

Q. Was there a specific moment or person that influenced your decision to enter this field?

Data has become a critical asset across industries, sparking my deep interest in its role in driving business growth and operations. Throughout my time at Kellanova (previously Kellogg Company), I’ve built a broad network and gained insights across various functions, thanks to the guidance of many teams and friends. The moments that stand out most are when I said “yes” to new opportunities and embraced the unknown—those experiences have been the most exciting and transformative.

Q. What advice do you wish someone would have given you when you were starting out, if any?

Back yourself. Take some risks – see the adventure versus the challenge. Things will go wrong, but it’s how you deal with the situation that is important. Keep going!

Q. What advice would you give to young people interested in STEM?

Don’t overthink it, stick with your gut, follow your skills and passion and you will thrive. Find someone who has been there before and paved their way and learn from them.

Region: Middle East, North Africa, Turkey, and South Asia
Sara Khafagy, Research & Development (R&D) Director

Q. Tell us about your role at Kellanova:

I lead our regional R&D team, co-creating and driving the business strategy for technology and innovation, and building and developing a high performing team.

Q. What inspired you to pursue a career in STEM?

I enjoy being intellectually stimulated and challenged. A career in STEM can be highly rewarding as it involves problem-solving, critical thinking, and continuous learning.

Q. Was there a specific moment or person that influenced your decision to enter this field?

In high school, my Chemistry teacher inspired me by demonstrating how chemistry brings real-world applications to life, leading me to major in it. I’m passionate about using science to make a difference, especially in food science, materials science, and sustainability. The chemistry of cooking—transforming ingredients and enhancing flavor, texture, and nutrition—continues to intrigue me.

Q. What advice do you wish someone had given you when you were starting out in your career? 

I’ve always held myself to high standards and attention to detail, but early on I sought perfection too often. I wish I’d known that while perfection helps set quality benchmarks and build resilience, it can also stifle creativity and create a fear of failure — both essential for innovation in STEM.

Q. What advice would you give to young people interested in STEM?

STEM fields need diverse perspectives, and your unique viewpoint is valuable. Stay curious and humble to learn more about the world surrounding you. Seek mentorship and feedback along your journey. Learn from the experiences and be open to constructive feedback for continuous development.

Region:  North America/ U.S.
Roxanne Myles, Director, Global Premiums and Licensing

Q. Tell us about your role at Kellanova:

I lead policies and programs ensuring the quality and safety of promotional premiums and licensed products, managing a team that supports marketing initiatives and licensing opportunities.

Q. What inspired you to pursue a career in STEM?

I have always enjoyed math and science and playing with things. As a child, I wanted to deliver babies, and as I got older, I really became interested in learning more about how and where things are made.

Q. Was there a specific moment or person that influenced your decision to enter this field?

I was influenced by my high school chemistry teacher to seek a career in chemistry, which I started when I went to college. There, I was introduced to Food Science and Food Technology. Since I love food and learning about where our food comes from and how it is made, I chose to go in this direction. 

Q. What advice do you wish someone would have given you when you were starting out, if any?

There are so many careers in STEM. Explore STEM careers that interest you and what you have a passion for. There is so much you can do to build your skills, enhance your knowledge and create something that the world has never seen before.

Q. What advice would you give to young people interested in STEM?

Try it, if you don’t like it, try something else. Keep exploring what life in STEM has to offer.

About Kellanova
Kellanova (NYSE: K) is a leader in global snacking, international cereal and noodles, and North America frozen foods with a legacy stretching back more than 100 years. Powered by differentiated brands including Pringles®, Cheez-It®, Pop-Tarts®, Kellogg’s ® Rice Krispies Treats®, RXBAR®, Eggo®, MorningStar Farms®, Special K®, Coco Pops®, and more, Kellanova’s vision is to become the world’s best-performing snacks-led powerhouse, unleashing the full potential of our differentiated brands and our passionate people. Our net sales for 2024 were approximately $13 billion.  

At Kellanova, our purpose is to create better days and ensure everyone has a seat at the table through our trusted food brands. We are committed to promoting sustainable and equitable food access by tackling the crossroads of hunger, sustainability, wellbeing, and equity, diversity & inclusion. Our goal is to create Better Days for 4 billion people by the end of 2030 (from a 2015 baseline). For more detailed information about our commitments, our approach to achieving these goals, and methodology, please visit our website at https://www.kellanova.com

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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

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