아드리안 라우다슐

After making the switch from a career as a medical doctor, I joined Elsevier in 2017. Since then, I’ve worn a few hats, all in product management and search technology. Right now, I’m the Principal Product Manager for Scopus AI — a platform that combines vector search, large language models, and knowledge graphs to help researchers dive into new topics. Before this, I led product development for search and discovery across several Elsevier products, always keeping an eye on improving user satisfaction and making research more impactful.

Coming from a medical background, I’ve always appreciated the importance of knowledge and discovery. Elsevier’s role in advancing research across the world felt like the perfect place to make a real impact, and the idea of being part of something that drives global academic research was a big draw. Working on Scopus AI lets me combine my love for medicine, technology and business to actually help researchers make their big discoveries.

As Principal Product Manager for Scopus AI, I am at the intersection of research and technology. I’m building tools that make it easier for researchers to discover and understand new academic content. By focusing on what researchers need, building systems that consider fairness, accessibility, and innovation, we’re contributing to Elsevier’s mission of advancing knowledge in a way that benefits everyone. The real impact comes when we create a level playing field, enabling researchers from all backgrounds to make meaningful contributions.

What I love about Elsevier is the collaboration and openness to experimentation. We get to work across teams, trying new ideas and exploring the latest technologies. There’s a real sense that you can run with your bold ideas, and that makes the work both exciting and meaningful. The freedom to innovate while knowing you’re contributing to the bigger picture is something I appreciate every day.

For example, with Scopus AI, we didn’t just set out to build another research tool — we wanted to change how researchers interact with information. By combining large language models with vector search, we’ve created a platform where researchers can uncover new connections and explore areas they may have never considered before. It underscores Elsevier’s commitment to pushing the boundaries of what’s possible and putting researchers at the heart of everything we do.

Scopus AI has been a massive opportunity for both innovation and collaboration. I’ve worked with engineers, designers, data scientists, and analysts to bring it to life. The whole project was a team effort, with each group pushing the limits of what we thought was possible in academic search. Plus, having the freedom to experiment with new technologies like generative AI has been a game-changer. It’s the kind of environment where ideas thrive, and that’s been a highlight for me.

When I’m not working, I love being outdoors — hiking, running, anything that gets me out into nature. I’m also really into philosophy and love listening to podcasts like “Philosophize This!” It’s a great way to relax while also feeding my brain with new ideas.

I’m also passionate about education and making sure everyone has access to knowledge. While I’m not involved in any specific initiatives right now, I’m a big advocate for responsible AI. I think it’s super important that the AI we develop is ethical, transparent, and doesn’t perpetuate bias — especially as we integrate it more into research. Ensuring fairness and accountability is key as we push these technologies forward.

The future of Elsevier is all about innovation, especially in AI and machine learning. We’re just scratching the surface of what these technologies can do to make research more accessible and impactful. Scopus AI is part of this bigger wave, and I’m excited to see how it evolves and continues to change the way researchers work. Being part of that transformation is really exciting — it feels like we’re helping to shape the future of research.