Meet the Team
The brilliant minds behind Algorithma, working together to build the future of AI-powered solutions
Jens Eriksvik
CEO
Jens is a business leader specializing in business-driven transformation, artificial intelligence, digitization, and IT strategy. He is currently the CEO of Algorithma. Previously, Jens has led significant change initiatives, including his role as Vice President at Securitas Group, where he oversaw global IT transformation efforts. He also held key positions at 3gamma as a Senior Technology Strategy Consultant and worked as a consultant at Deloitte, Accenture, and PwC. With an Executive MBA from SSE, and MSc degrees in Electrical Engineering and Business Administration from Lund University, Jens has a diverse IT background across industries such as security, media, and financial services. His skills encompass IT management, enterprise architecture, and project management, making him a solution-oriented and innovative executive. Outside of his professional achievements, Jens has a keen interest in AI, technology, music, wine, food, and travel. He enjoys outdoor activities and resides with his wife, Helena, in Sollentuna, Sweden.
Peter Wahlgren
Senior advisor
Peter Wahlgren, PhD, is the Managing Partner and Chairman at Algorithma AB, where he focuses on IT-enabled business transformation and development. With a robust background in business and consulting, and a PhD from Chalmers University of Technology, Peter has significant experience helping organizations, both large and small, translate strategy into tangible results. He is recognized for his expertise in utilizing AI and technology to foster innovation, his leadership in managing change, and his ability to deliver lasting impact. Based in Gothenburg, Sweden, Peter is also engaged in various roles across different companies and industries. Outside of work, Peter lives with his family on the island of Styrsö, where he enjoys spending time on the sea and open water swimming.
Kristofer Kaltea
COO
Kristofer Kaltea is a seasoned management consultant with deep expertise in business & technology transformation and strategy. At Algorithma, he serves as the Business Operations Leader and leads strategic client initiatives. Before joining Algorithma, Kristofer held significant roles in IT and business technology transformation, including serving as the Business Team Lead for Transformations at Sofigate. His responsibilities involved spearheading large-scale, technology-driven initiatives and offering strategic IT consulting and transformation leadership to diverse organizations. Kristofer earned his MSc in Business and Economics from Linköping University, which laid a strong foundation for his career in tech and entrepreneurship. Outside work, Kristofer is an avid alpine skier, golf player, and devoted Formula One fan.
Alexander Ekdahl
CTO
We are excited to introduce Alexander Ekdahl, a new member of our team at Algorithma. With a strong background in AI strategy, data science, and consulting, Alexander has worked across startups and global enterprises, helping businesses leverage AI for automation and decision intelligence. His journey began in engineering, and over the years, his expertise has evolved into AI-driven business transformation, with a particular focus on LLMs (Large Language Models) and multi-agent systems. Alexander's passion for AI is rooted in its potential to enhance problem-solving at scale. He sees AI as a tool that optimizes workflows, creates new opportunities, and augments human intelligence. His excitement comes from the intersection of AI and real-world applications, where technology not only improves efficiency but also reshapes industries. > "The idea that AI can transform high-level, non-technical inputs into deployable software is something that has always fascinated me. The ability to bridge strategic ideas with real-world implementation is where I see AI having its greatest impact." > > — Alexander Among his many achievements, Alexander is particularly proud of developing a multi-agent AI system that translates abstract business inputs into deployable software solutions, significantly reducing manual effort. This project exemplified how AI can streamline complex processes and unlock new levels of efficiency. Staying at the forefront of AI requires continuous learning, and for Alexander, curiosity is key. He actively experiments with new AI frameworks, follows research from institutions like DeepMind and OpenAI, and engages in hands-on projects to deepen his expertise. For him, learning isn't just about keeping up with advancements — it's about exploring what's next. At Algorithma, Alexander's work aligns closely with the company's values, particularly around responsible AI innovation. As AI systems take on more decision-making capabilities, he believes it's crucial to ensure that automation is deployed ethically and strategically, freeing humans to focus on future innovation rather than routine tasks. Outside of work, Alexander enjoys skiing, traveling, and sports. While he has a love-hate relationship with running, he is determined to complete a half-marathon this spring. Looking ahead, Alexander aims to bridge the gap between AI and real-world applications, ensuring that AI solutions are not only cutting-edge but also practical and accessible for businesses. He is excited to drive initiatives that push the boundaries of AI-driven strategy, mentor future AI professionals, and contribute to a thriving AI ecosystem at Algorithma. We are thrilled to have Alexander on board and look forward to seeing the impact of his expertise and vision as we continue shaping the future of AI!
Viktor Ekberg
CCO
Viktor Ekberg serves as the Commercial Operations Leader at Algorithma, bringing his expertise in business operations and strategic planning to drive the company's commercial success.
Frida Holzhausen
Management
Frida holds a MSc in Industrial Engineering and Management from Chalmers University of Technology. Her Master's is in Industrial Ecology, with her thesis focusing on a business model life cycle assessment of a circular sharing service — a reflection of her deep commitment to sustainability. At Algorithma, Frida works as a management consultant in which she has brought her previous experience in technology transformation and strategy. Before joining Algorithma, Frida worked at EY within technology consulting. Outside of work, Frida enjoys the outdoors in the form of a hike or to immersing herself in a good book. She also has a passion for board games and never turns down an opportunity to challenge friends and family in a friendly competition.
Franklin
Mood manager
Franklin joined Algorithma straight from the park, where his standout skills – tail wags, belly flops, and an unshakable sense of joy – caught the right kind of attention. It didn't take long before the team realized he had a natural talent for boosting morale, reminding people to take breaks, and ensuring everyone felt a little more at ease. That's how he found his calling as Mood Manager, a role he takes very seriously (especially when it involves greeting people at the door or patrolling the snack zones). While Franklin doesn't write code (yet), he has a keen interest in pattern recognition, particularly when it comes to treat schedules or the sound of a lunch bag rustling. He's a strong supporter of smart technology that helps people spend more time on what matters, like ear scratches and spontaneous coffee walks. AI, he believes, should make work better for humans, and when humans are happier, they build better things. > "AI helps humans make smarter decisions, and I'm all for anything that helps them spend more time doing the important stuff… like giving me ear scratches." > > — Franklin, Mood manager One of Franklin's proudest achievements was diffusing a tense meeting by simply lying on his back with his paws in the air. He's also maintained a perfect track record in daily morale-boosting KPIs and is the unofficial champion of hallway zoomies. Whether it's making someone smile after a long meeting or gently nudging a laptop closed to suggest a break, Franklin's impact is always felt in subtle but meaningful ways. Staying curious is second nature for Franklin. He listens in on team stand-ups, sniffs out what's new in everyone's bags, and never misses an opportunity to learn from his environment. His strategy for continuous learning is simple: stay present, stay playful, and always investigate where the snacks are hidden. Franklin's work aligns perfectly with Algorithma's values—collaboration, innovation, and care. His presence fosters connection and lightness, creating a workplace where people feel grounded and supported. He reminds everyone that sometimes, the best ideas come during a walk, and that a wagging tail is a good sign things are on the right track. When he's off-duty, Franklin enjoys long walks, squeaky toys, strategic napping, and acting as a part-time squirrel patrol officer. He also moonlights as a professional couch warmer and has a growing fan base among office visitors. Looking ahead, Franklin has big dreams. One day, he hopes to co-author a paper on canine-assisted machine learning. But for now, his focus is clear: keep tails wagging, morale high, and gently push for the inclusion of "mandatory pet cuddles" in the HR handbook.
Simon Althoff
Data Scientist
Simon's journey into the world of AI began during his master's thesis in Engineering Mathematics, where he found the perfect blend of theoretical and practical aspects. "Writing my thesis with Algorithma and joining the company full time was an obvious choice," Simon shares. His passion for AI stems from its intersection of mathematics, statistics, and computer science. "AI allows for solving fascinating problems across industries, aligning perfectly with my passion for tackling complex issues with equally intriguing solutions," he remarks. In the collaborative culture at Algorithma, Simon thrives in team dynamics, guiding collaborative efforts toward common goals. "The projects where we develop new specialized solutions are the most rewarding – the essence of teamwork!" One of Simon's notable achievements is the publication of a scientific article during his master's thesis. Accepted at the 12th Symposium on Conformal and Probabilistic Prediction, it was a great way to kick-start his career. In the dynamic field of AI, Simon stays curious and ensures continuous learning through hands-on experimentation. "Taking the time to do some research between projects, either to understand a new technology or to write and publish in scientific journals, is how I stay up to date," he shares. Simon sees his work at Algorithma making a positive impact through responsible AI practices. "With a focus on responsible application of AI, I think my work at Algorithma has the potential to assist companies and organizations to align with environmental, social and economic sustainability goals." Beyond his professional life, Simon is into outdoor activities like running, hiking, and snowboarding. He holds a student pilot license in paragliding, a passion he can't wait to pick up again. Looking ahead, Simon aspires to drive positive change through the development of novel algorithms, creating positive impact, and enabling new forms of sustainable business. "Apart from that, I hope to assist in creating an inclusive and friendly workplace, where knowledge is shared in all directions, facilitating the best possible team."
Jonas Röst
Data Scientist
We're excited to welcome Jonas Röst to Algorithma! Jonas's journey to AI was guided by his long-standing love of mathematics, which initially drew him toward engineering. Unsure at first which field to pursue, he eventually chose Industrial Engineering and Management at Chalmers University of Technology. During his bachelor's studies, he discovered coding, which blended perfectly with his interest in math and problem-solving. This realization led him to pursue a Master's in Data Science and AI, a decision that set the foundation for his role at Algorithma. Jonas's interest in AI has been growing since high school, and a moment that really stood out was watching the documentary about Google DeepMind's AlphaGo. Seeing AI accomplish something as complex as mastering Go—a game long considered out of reach for machines—opened his eyes to the field's vast possibilities and sparked his ambition to be part of its future development. One project Jonas is especially proud of is his bachelor's thesis on AI applications in Swedish "fondrobotar" (investment funds), co-authored with five other students. The project won two awards and highlighted just how much potential remains untapped in AI, especially in finance. Working with a group on this project taught Jonas a lot about teamwork and balancing different perspectives, making it a valuable learning experience. In such a fast-changing field, Jonas stays curious by following curated mailing lists and listening to podcasts, which help him focus on topics that spark his interest without getting overwhelmed. > "Having played football the majority of my life, I've always valued teamwork and the satisfaction that comes from solving problems with others. I'm excited to bring that same team spirit to Algorithma, where I hope to help maintain an environment where collaboration is at the heart of everything we do." Outside of work, Jonas stays active with sports and snowboarding, and his latest obsession is surfing—a passion he picked up during an exchange semester in Lisbon. Back at home, he also enjoys experimenting with new recipes in the kitchen. Looking to the future, Jonas is eager to broaden his skill set by working on a range of projects and learning from his Algorithma colleagues. He sees AI as full of unturned stones and is ready to explore as many as he can. We're thrilled to have Jonas on board and look forward to seeing the new perspective and energy he brings to the team!
Johan Hallberg Szabadváry
Data Scientist
Johan is a mathematician whose interests include conformal prediction, optimization, dynamical systems and complex analysis. He is currently a data scientist at Algorithma, and an industrial PhD student in computational mathematics at Stockholm University, where his research, broadly speaking, revolves around uncertainty quantification and game-theoretic probability. Johan's master thesis, written at Ericsson, deals with Monte Carlo methods for mobile network optimization, and was awarded Stockholm Mathematics Centre Prize for Excellent Master Theses. Apart from his mathematical endeavours, Johan is an actor and musician. Outside of work, he has a keen interest in philosophy, history, and nature. Much of his free time is spent reading and gardening. Johan lives with his wife in Ljungskile, Sweden.
Vilma Ylvén
Data Scientist
Vilma completed her MSc in Engineering Mathematics at Lund University in 2024. There she had focused on statistics and programming and graduated with a specialization in image analysis and machine learning. Her master's thesis was titled: Using NeRF- and Mesh-Based Methods to Improve Visualisation of Point Clouds. Since starting at Algorithma, Vilma has worked on a range of projects as a data scientist—from classic machine learning to LLMs. She also has an affinity for graphical design and has dabbled in frontend development in several projects. In her spare time, Vilma is often talking about her cat Sol-Britt, whom she takes on daily walks and spends an absurd amount of time cuddling. She is also a literary enthusiast and you can often find her immersed in an audiobook while knitting socks.
Marcus Banér
Data Scientist
Marcus holds a MSc in Complex Adaptive Systems and a BSc in Mechanical Engineering from Chalmers University of Technology. His Master's thesis leveraged Transformer models to improve predictions of proxy spreads for financial instruments, a testament to his passion for solving real-world problems with advanced AI techniques. At Algorithma, Marcus applies his expertise as a data scientist, bridging the gap between technology and business. Prior to joining Algorithma, Marcus worked in management consulting, where he cultivated his interest in aligning AI solutions with strategic business objectives. Outside of work, Marcus enjoys traveling with friends, skateboarding, surfing, and spending his downtime playing guitar.
Simon Lanngren
Data Scientist
Simon holds an MSc in Data Science and AI and a BSc in Industrial Engineering and Management from Chalmers University of Technology. During his academic journey, he also spent a semester abroad at Bocconi University in Milan, where he strengthened his expertise in data science and business strategy. For his master’s thesis, Simon collaborated with Algorithma to explore how the uncertainty quantification technique conformal prediction can be integrated into predictive decision theory to enable more robust decision-making under uncertainty. The thesis was accepted as a conference paper at COPA 2025. Driven by a passion for combining business strategy with IT and applied data science to create real business value, Simon is joining Algorithma as a Management Consultant. Outside of work, Simon is passionate about the outdoors and traveling. He enjoys hiking, running, and playing golf, finding balance and inspiration in nature.
Emely Wiegand
AI RunOps Manager
Originally from Germany, Emely studied Theoretical Physics before moving to Sweden to pursue a PhD at Chalmers University of Technology, specializing in Quantum Physics. Her research centered on the interaction of superconducting quantum bits with microwaves, a technology essential for the development of quantum computers. After completing her PhD, she transitioned into industry as a Data Scientist and Machine Learning Engineer, where she applies her expertise to solve complex challenges. Outside of work, Emely enjoys singing in a choir and engaging in creative activities like drawing and painting. A significant portion of her leisure time is dedicated to video games. Additionally, she has a deep affection for animals, particularly birds and whales.
Karin Bergdahl
Data Scientist
Karin holds an MSc in Engineering Mathematics from LTH, where she specialized in machine learning. She started her career at a global consulting firm, working on its first GenAI project in Sweden and developing AI agents before the term “AI agents” existed. At Algorithma, she builds the frameworks and architecture that power the our AI agents, focusing on creating clean, organized, and reusable code. She enjoys designing systems that make development smoother for her colleagues while ensuring reliable, robust solutions for clients. Karin is also a folk fiddler, and spends her summers traveling around the country to play with friends and strangers. On a weekend, you will usually find her reading or crafting while watching winter sports.
Felix Baart
Data Scientist
Felix Baart is a Management Consultant and Programmer at Algorithma, combining strategic business thinking with technical programming skills to deliver innovative solutions for clients.
Hampus Hallman
Data Scientist
Hampus Hallman is a Data Scientist at Algorithma, leveraging his expertise in data analysis and machine learning to drive business value through advanced analytics.
Simon Nygren
Data Scientist
With a background spanning engineering, complex adaptive systems and applied AI, Simon combines technical expertise with a strong human-centered perspective. He holds a bachelor’s degree in Mechanical Engineering and a master’s in Complex Adaptive Systems from Chalmers University of Technology, where an early AI internship sparked his passion for responsible innovation. He is passionate about using AI to create solutions that truly benefit people and society. Outside of work he’s a devoted Timrå IK hockey supporter, an avid home chef and baker, a Sunday league soccer player and a golf enthusiast.
Oliver Johansson
Data Scientist
Oliver Johansson is a Full Stack Developer & Designer at Algorithma, where he applies his expertise in data analysis and machine learning to help clients leverage their data for strategic decision-making and business growth. With a strong background in statistics and programming, Oliver is dedicated to delivering innovative solutions that drive value and efficiency.
Daniella Zhou
Data Scientist
Daniella Zhou is a Data Scientist at Algorithma, leveraging her expertise in data analysis and machine learning to drive business value through advanced analytics.
Emma Erikson
Data Scientist
Emma Erikson is a Data Scientist at Algorithma, leveraging her expertise in data analysis and machine learning to drive business value through advanced analytics.
Join Our Team
We're always looking for talented individuals who are passionate about AI and innovation.
View Open PositionsLast updated: January 2025