I built my startup in Vancouver (CA), and I have a good network in north America in the space of innovation. I worked with machine learning in mass customization, business development and R&D. I Focus on hypothesis testing and product market fit.
I am a lead software engineer with four years of work experience and an M.Sc. in engineering management. My combined knowledge of management, data science and engineering from my large organization working experiences and education make me specialized in converting business ideas to IT solutions.
I am an expert in Bioinformatics and Data Science applications for 5+ years. I am an Alumnus of DTU since 2017 from where I graduated with MSc in Bioinformatics and Systems Biology! Since then I completed my PhD in EMBL (Germany) and worked for various companies as a Data Consultant and Research Scientist including startups (e.g. Blusense in Copenhagen, Denmark and Etcembly in Cambridge, UK) and well established biotech corporations (e.g. Evotec in Munich, Germany). Currently I am working as a Business Senior Consultant for AI and Data in Deloitte in Munich, Germany. Through my experiences and expert background I have helped companies in Europe to scale their Life Science-related business and make the most out of their produced data for either Biotech or Pharma applications.
I have a PhD in mathematical modelling of laser physics from DTU Fotonik, and now two years of industry experience working at Trackman, developing algorithms and physical models for radar and optical tracking used in the sports industry. My work is centered around software development for analysis, mathematical modelling and data science.
After 15+ years of doing software start-ups and more recently people, project and program management in a reasonably sized Danish and global MedTech company, it’s time to give something back.
My experience is mainly from managerial roles in large global engineering companies such as FLSmidth with special focus on building a strong organization to support the strategic direction of the business. During my career over the last 30 years I have helped many young people pursue their dreams and aspirations.
With a PhD background from DTU, I am currently working as a Model Risk Manager with focus on Model risk management and control at Saxo Bank. I have previous background and experience in stochastic modelling, risk analysis, data analytics, statistical models, computational techniques, and applied statistical decision theory.
I have a PhD from DTU Physics, done postdoctoral research at Stanford University, founded a startup company which got backed by Y Combinator in California, worked at various Danish startups and small businesses and I am now a Data scientist at Topsoe. My interests are in the cross-section between energy, nanotechnology and data science.
I am an Experienced Machine Learning Researcher professional offering expertise in machine learning, computer vision, and deep learning. My career ranges from teaching, freelancing, start-up experience and R&D in global corporations. Located in the Bay Area, I am exposed to the absolute forefront in machine learning research and my expertise lies in applying machine learning to real-world problems by leading R&D projects in the worlds largest healthcare company.
