Personalized education is proven to produce learning gains for the average student to the order of two standard deviations. Our mission is to apply recent breakthroughs in machine learning to make personalized education accessible to everyone — providing these benefits on a global scale.
Sana Labs is an artificial intelligence company that applies recent breakthroughs in machine learning to personalize education. Sana Labs was founded in Stockholm in 2016 and is backed by a renowned set of investors and advisors. Our interdisciplinary team consists of experienced engineers and scientists with backgrounds ranging from Imperial College and CERN to Google and Spotify.
The global education industry is vast, valued at over $5 trillion in 2016, and is undergoing a sea change with the move to digital and online instruction, materials and modalities. This shift, to digital and online resources, is enabling what many educators consider to be the holy grail of learning — personalized, adaptive instruction and assessment. With our machine learning platform, we aim to be the engine that drives forward this change — fundamentally improving the function of the entire industry, directly affecting hundreds of millions of people’s lives every day.
An enterprising child, Joel taught himself to code in C at age 13 and founded his first company, a video recommendation technology, at 16. While a senior in high school, Joel developed the initial Sana algorithm. Although it was only the seed of what the Sana technology would become, it received widespread attention from world-class investors, advisors and artificial intelligence researchers. Subsequently, at age 20, Joel raised $1M from some of Europe’s most prominent investors to bring Sana Labs to the world.
Anna has 15 years of experience developing and implementing marketing strategies for a wide variety of brands, with a pronounced focus on fast growing tech companies. Previously, Anna worked as a Senior Marketing Strategist at Saatchi & Saatchi and King. She currently sits on the board of Stockholm AI.
Valentino previously worked at The Boston Consulting Group leading a team of data scientists building powerful analytics-based solutions to help clients tackle their most pressing business problems. He holds a double M.Sc. in Electrical and Computer Engineering and a Ph.D. in Electrical Engineering from the Royal Institute of Technology.
Susanna earned her PhD in Applied Mathematics at Imperial College London. She previously worked at AstraZeneca, harnessing predictive modelling and segmentation techniques to optimise drug therapies in a selection of target populations, to great effect.
Anton previously worked at Ampfield where he designed bayesian engines for implementation in algorithmic trading. Prior to Ampfield, Anton worked on research and development at CERN. Anton earned a M.Sc. in Applied Mathematics from the Royal Institute of Technology.
Faruk previously worked at Spotify as a product manager and as an engineer with the development of their external APIs and Playback SDKs which enabled hundreds of companies like Sonos, Google, Facebook and Amazon to bring music into their products. Faruk earned a M.Sc. in Computer Science from Linköping University graduating first class.
Sofie previously worked at the investment firm Karnell screening potential investments in small and medium sized unlisted Nordic companies. She earned her M.Sc. in Industrial Engineering and Management from the Royal Institute of Technology and spent a semester during her master’s at Pontificia Universidad Católica Argentina. During her studies, she did internships at Citigroup, Barclays Investment Bank, and Morgan Stanley.
Viktor previously worked at VPD Financial Software where he developed software for financial analysis used by some of Sweden’s leading banks and asset managers. Prior to VPD Financial Software, Viktor did a research internship at Ericsson and helped develop one of Sweden’s largest online courses in mathematics at the department of mathematics of Stockholm University. Viktor holds a joint M.Sc. in Mathematics from the Royal Institute of Technology and Stockholm University where he did research on topological quantum computing.
Vasilis previously worked at Inovia on speech recognition. Prior to Inovia, Vasilis worked at Starcounter with text classification. He completed his MSc in Machine Learning at the Royal Institute of Technology with a thesis on sentiment classification with deep neural networks. Vasilis grew up in Greece and wrote is BSc thesis on machine translation from ancient greek to english.
Ulf has 15+ years of experience with software engineering, having previously worked at Spotify. While at Spotify he built core components of the infrastructure for content delivery, making it scale to millions of users. Prior to Spotify, Ulf researched new methods of executing controller software on servers as a consultant at HiQ. He holds a M.Sc. in Computer Science from University of Gothenburg.
Martin previously worked in management consulting at Bain & Company with C-suite executives on change management, investment analysis, strategy, and more. Prior to Bain & Company, Martin was in the Swedish Amphibious Corps as a Coastal Ranger. Martin holds a M.Sc. in International Business from Stockholm School of Economics.