Center for Surgical Science (CSS)
Martin Høyer Rose has a diverse work experience in various roles. Martin Høyer has worked as a Chief Data Scientist at the Center for Surgical Science (CSS) since 2023. Prior to that, they were a Chief Data Scientist and Director of Data Science at Charlie Tango from 2019 to 2022. At Charlie Tango, they were involved in senior management, data science consulting, and research in AI and healthcare.
Before joining Charlie Tango, Martin worked as a Lead Data Scientist at KMD from 2018 to 2019. In this role, they provided technical leadership and consulting services in the integration of AI into the company's product portfolio. Martin Høyer also worked on collaborative projects and research related to AI technology and ethics.
From 2017 to 2018, Martin served as a Data Scientist at Tryg, where they were responsible for establishing and leading the data science team. Martin Høyer developed procedures, frameworks, and data pipelines to optimize the use of data for creating business value in the insurance industry.
Martin also has experience as the owner of MHRose Consulting, where they undertook various small projects. Notably, they worked as a performance analyst for the Danish Ladies Kayak Team in preparation for the 2016 Olympics.
Earlier in their career, Martin worked as an R&D Engineer at UNEEG medical A/S from 2013 to 2016, gaining extensive knowledge in implantable medical devices, machine learning, and clinical trials. Martin Høyer was involved in product design, data analysis, international collaborations, and regulatory processes.
Martin's educational background includes a Ph.D. from the University of Copenhagen, where they conducted research in applied mathematics, digital signal processing, statistics, and clinical neurophysiology. Martin Høyer also worked as a Clinical Research Assistant at Rigshospitalet and a Research Assistant & Instructor at the University of Copenhagen.
Additionally, Martin has experience as a U18 Kayak Sprint National Team Coach at Dansk Kano og Kajak Forbund in 2006.
Martin Høyer Rose completed their education at the University of Copenhagen. Martin Høyer began with a Bachelor of Science degree in Exercise Physiology and Mathematics, which was completed in an undisclosed year. Martin Høyer then went on to earn a Cand. scient. degree in Human Physiology and Mathematics from the same institution, graduating in 2009. Finally, they obtained a Doctor of Philosophy (PhD) degree in Neurorehabilitation and Applied Mathematics from the University of Copenhagen, finishing their studies in 2013.
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Center for Surgical Science (CSS)
The Center for Surgical Science was founded in 2015 with the aim to improve the treatment of patients with surgical diseases resulting in minimal morbidity and optimal clinical outcomes. Through a cross-disciplinary research approach and by using multi modal interventions we want to characterize the major issues for patients undergoing surgery in order to individualize pre-, intra- and postoperative treatment. We have a focus on understanding what drives an excellent treatment for patients with different comorbidities and different surgical diseases. Our major research areas are in patients with cancer in the digestive tract, patients undergoing emergency surgery and patients undergoing abdominal wall and bariatric surgery. In the clinical setting we have implemented ‘Enhanced Recovery After Surgery’ protocols in patients undergoing colorectal cancer surgery and are using minimally invasive surgical techniques (laparoscopic surgery, robot assisted laparoscopy, combined endoscopic laparoscopic procedures, and advanced endoscopic techniques). We firmly believe that state of the art ‘Enhanced Recovery After Surgery’ protocols and minimally invasive surgical techniques are the main stay of any surgical treatment and a prerequisite for performing research in surgical pathophysiology. Our vision is deeply inspired by pioneers within this field. CSS is utilizing a wide spectrum of research methodologies including in vitro studies, ex vivo studies, prospective and randomized clinical trials, and epidemiological research. We have thus, based on the different research methodologies, divided our research group in three research groups: - The big data and personalized surgery group. - The translational research group. - The clinical outcomes research group.