Thank you Brian, and thank you everyone for joining us today. At the end of last fiscal year, I said that we were seeing strong momentum in our businesses and value creation activities, and that our culture had been reinvigorated by a much simpler and more efficient Wiley. I said then that we look forward with renewed confidence and optimism. I'm pleased to report that all of this is playing out in our solid performance indicators, colleague engagement scores, and in our financial results. As I said in June, we have more work to do to realize our full potential, and that work will continue. But the leadership team and I are pleased with our momentum and progress as we enter the new fiscal year. Our Wiley colleagues around the world have done a terrific job getting our businesses on a successful track. I can't thank them enough for their hard work and dedication and their unwavering commitment to serving our customers with excellence. In July, I was privileged to be named Wiley's CEO after serving in an interim capacity since October. I see no change in my approach. We will continue to be relentless in our execution as we publish more high value content to meet global demand, move decisively on AI growth opportunities, and drive operational improvements and rigor across the organization. I am grateful to our colleagues and stakeholders for their positive reception and support, and I want to thank the Wiley board of directors for their confidence and continued partnership. I'll start today with a quick reminder about our two businesses, review how we did against our objectives, and discuss our Q1 performance, notably the strong recovery and growth we're seeing in research. I'll also say a few words about how we're thinking about the IP licensing opportunity for GenAI training and development. Christina will walk through our segment performance, value creation activities and reinvestments outlook and financial position. Jay will then join us for questions. As a reminder, Wiley is enabling the creation of new knowledge and its application in critical areas of the global knowledge economy in science, medicine, technology and engineering, in business, economics, and finance. Our high quality knowledge, content and solutions remain as relevant as ever. Now that fiscal 2024 is behind us, I just want to briefly level set and remind everyone what we're focused on. Excluding our held for sale or sold segment, we're now organized into two operating segments, research and learning. The businesses complement one another with high value publishing and solutions in related markets and verticals. Our competitive advantage in both include our content libraries, brands, author relationships, category leadership, and reputation. In research, Wiley has one of the world's leading journal portfolios and the industry's most widely used content platform. Research publishing models include both read only subscriptions, read and publish hybrid licenses for institutions and corporations, and author funded open access where a peer reviewed article is made freely available for a publishing fee. Research solutions includes publishing and audience solutions for societies and corporations. The research segment has a large recurring revenue base that's 96% digital. Learning is academic publishing and courseware for higher Ed students, and professional publishing and assessments for professionals. Learning, which is particularly strong across stem and business categories, is seeing an accelerating shift to digital and institutional formats. As noted, learning content is increasingly valued for GenAI training models. Let's talk about the quarter. As expected, we're seeing a strong recovery in growth in research, driven by favorable demand trends and execution. I can't emphasize enough the great work our research team has done to get us back on track and delivering very solid results. Learning benefited from a second GenAI content rights project and delivered courseware growth in a seasonally light quarter. At the same time, the learning team continues to drive margin expansion reflected in strong adjusted EBITDA growth this quarter. We've essentially executed our full value creation plan ahead of schedule. Just last week, we closed our third and final divestiture and during the quarter actioned the remaining 40 million of the 130 million cost savings program. In June, we raised our dividend for the 31st consecutive year. Not many companies of any size can say something like that. We also increased share repurchases again this quarter. Finally, Wiley recently saw a marked elevation in our colleague engagement and satisfaction scores, which are critical to our ongoing success. I just got back from a trip to Asia, where I visited our offices in China and Japan. As with my earlier trip to India and Sri Lanka, I found our teams in Asia reenergized and highly motivated by the many improvements we've made. Our colleagues across the globe are all aligned and rowing in the same direction. Let's talk about how we delivered on our key objectives this quarter. First is to drive recovery and growth and research. We experienced an unprecedented year in fiscal 2024, but remain fully confident in a recovery. Given the essential nature of what we do, the enduring draw of our journal brands, and the momentum we saw exiting the year. I'm happy to say that our recovery is playing out as expected, if not better, both in our financial performance and leading indicators. Our second objective is to move decisively on near term AI opportunities. We executed a second content rights project with a large tech company this quarter, with 17 of the 21 million total value recognized in the quarter. Nearly all of it is in learning. We are seeing interest from other large tech companies and R&D centric corporates. Our third objective is to continue to drive performance and profit improvement through our value creation plan. As noted, we've closed all of our divestitures and actioned the 130 million cost savings program. Let me turn to our first quarter performance. Note, I'll be excluding our held for sale or sold assets in my commentary unless otherwise noted. As discussed, we're off to a good start with adjusted revenue up 6% to $390 million. Performance was driven by 3% growth in research and 14% growth in learning, notably the $17 million contribution from the content rights project. Excluding the large AI contribution, revenue rose 2%. Adjusted EBITDA rose 22% to $73 million, driven by revenue, performance and run rate cost savings. These savings were partially offset by investments in marketing and technology. Our adjusted EBITDA margin for the quarter was 18.6%, up from 16.3%. Adjusted EPS was up 74% due to higher adjusted operating income and accrued interest income from our divestitures. A few words about our GAAP performance. The GAAP revenue decline was largely impacted by foregone revenue from sold businesses. While the GAAP EPS loss was primarily due to a GAAP income tax adjustment related to our university services divestiture. Our adjusted effective tax rate is not impacted. Now on to our strong recovery in research. As a reminder, we saw our leading indicators rise significantly in the back half of fiscal 2024, giving us confidence heading into the first quarter. That's because the attributes that make this business great haven't changed. Research is tightly correlated with global R&D spend, which is ever increasing. Getting published is essential to a researcher's career, so demand is resilient. Wiley is one of the world's leading research publishers, with a very large catalog of high impact journals which form our competitive moat. And finally, the evolving open access publishing model allows more researchers around the world to publish and therefore expands our total addressable market. Our research team is making it happen. They're delivering better than expected numbers in submissions, output and open access growth. We've increased the top of the funnel by significantly enhancing our marketing capabilities, streamlining our sales efforts and increasing our editorial capacity. They've increased publishing output by investing in peer review and refer and transfer. They're focused on the right markets and investing in the right journal brands while continuing to optimize our journal portfolio. And we're just getting started. Here are some metrics to pay attention to. Global R&D spend is up around 8% since 2022, to an estimated $2.53 trillion. This number is expected to continue to grow at 4% to 6% annually over the long-term. Growth in R&D drives research submissions. Wiley is capitalizing on this trend. In Q1, submissions grew by 18%. We continue to operate more effectively and take advantage of favorable demand dynamics. Q1 output growth, which is a lagging indicator flowing from submissions, was up a very solid 6%. As noted, we've seen normal, healthy growth patterns return to the U.S., EMEA, and Japan, and strong demand continue in high growth markets like China and India. A year ago, we said that output would lag submissions by six to nine months, and it's playing out as expected. Our multi-year institutional models combining subscriptions and institutional open access grew nicely in the quarter, and Gold Open Access continues to grow at double digit rates. We continue to build on our position as a top ranked journal publisher, with 22% of our listed journals receiving an increased impact factor in the annual Journal Citation Reports. The reports are one of the most widely used sources of citation metrics to analyze the performance of peer reviewed journals. Wiley journals make up nearly 11% of all citations in the JCR index. Finally, our research end-to-end platform development is proceeding on plan and we expect to fully launch it by the beginning of fiscal year 2026. We're very excited about what this platform will enable to stand up new content offerings and improve article refer and transfer, reduce article turnaround times and cost per article, and detect research fraud through the use of AI. As always, there's more to be done, but a good start to the year for research and a confident outlook. I'd like to spend a few minutes discussing AI. As a reminder, our high quality content in science, learning and innovation is foundational for training large language models and building applications. AI developers and R&D intensive corporates can use it to improve accuracy, safety and impact. Demand therefore remains robust. This quarter, as previously discussed, we executed a $21 million licensing project with a large tech company for previously published content, our second such deal in consecutive quarters. 17 million of the 21 million was recorded in Q1, the remainder to be realized during the year. Nearly all of it is in learning, as LLM training demand is currently higher for book content than research journal content. The emerging demand for research content is more for LLM application development in specific disciplines and verticals. It's important to note that both of these projects involve backlist content, in most cases three years or older. The contracts are of limited duration, with limited rights and use, notably model training purposes. They are non-exclusive, subject to extension, and do not constrain us from pursuing further opportunities. These projects are incremental. They do not cannibalize our core. We see the content licensing opportunity in two stages. The first, as discussed, is participating in the near term development of foundational models. The second is in recurring licensing arrangements over the medium to long term as these models and applications come online and as information centric corporates bring our content into their AI environments. Let me say a few words about how we're approaching AI from a licensing perspective. First, content licensing is not a new or AI specific activity for us. It's really core to our mission and part of our day to day work to maximize the reach, readership, and revenue of our books and journals. We believe we have a responsibility to engage with AI developers. Our content is critical to ensuring scientific accuracy and impact and delivering optimal learning outcomes. Therefore, AI models should be trained on high quality, authoritative content like Wiley's. At the same time, we're being very selective about choosing when and how to partner with AI companies. We are careful to pick the right partners and to adhere to a strict set of principles around AI. The rights of authors and other copyright holders must be protected. Our job as a knowledge company is to ensure -- copyright holders should receive fair compensation for their intellectual property consistent with contractual arrangements. All in, we aim to be the most trusted partner to authors, societies and associations. They will continue to be our North Star as we assess and execute on opportunities in this ever changing digital landscape. All to say, Wiley remains highly valued and well positioned in the evolution of AI. I'll pass the call over to Christina.