Interdisciplinary team of scientists and engineers

Patrick is co-founder and Chief Executive Officer of Aiosyn. He studied Health Sciences and followed a MSc Management and Entrepreneurship in Life Sciences at the VU University. Patrick founded a European life science consulting company specialized in strategy and financing services for medtech and biotech companies (sold in 2018). Early 2020, he co-founded a medical diagnostics company (now part of Microbe&Lab) that provides tests for infectious diseases (e.g., Covid-19) and a platform for at-home testing and health programs for consumers and employers. In 2021, he co-founded Aiosyn in which he will take AI-powered pathology algorithms to patients and doctors. 

Patrick is an enthusiastic amateur cyclist and likes to spend time in the mountains.

Jeroen is co-founder and Chief Scientific Officer of Aiosyn. He is also Professor of Computational Pathology at Radboud University Medical Center in Nijmegen, Netherlands and guest Professor at the Center for Medical Image Science and Visualization in Linköping, Sweden. He studied Computer Science at the Radboud University in Nijmegen. Jeroen currently leads a research group focusing on the use of AI for digitized histopathological tissue sections. His group was among the first to show the potential of AI for analysis of whole slide images. Further research focused on AI improvements to increase robustness and accuracy, and on AI application for diverse tasks, developing models for analysis of breast and colorectal cancer and for renal transplant biopsies. In 2016 and 2017, he coordinated the CAMELYON grand challenges. The CAMELYON data sets are among the largest and most studied in computational Pathology today. Jeroen is member of the board of directors of the Digital Pathology Association, iis leading the ‘AI in Pathology’ taskforce of the European Society of Pathology and is overall coordinator of the Bigpicture project. He is USCAP Nathan Kaufman laureate 2019.

Wouter is co-founder and Chief Operating & Product Officer of Aiosyn. He studied Artificial Intelligence and worked as a software engineer and data scientist. He holds a Ph.D. in computational pathology with a focus on using artificial intelligence for clinical diagnostics. Wouter’s research showed that AI algorithms could grade prostate cancer on the level of experienced pathologists and actively assist pathologists in performing better diagnoses. Wouter was also one of the main organizers of the PANDA challenge, the largest challenge in computational pathology to date, collaborating with Karolinska Institute and Google Health. Wouter’s research was published in top journals like The Lancet Oncology and Nature Medicine.

Wouter enjoys going to the theater in his free time and aspires to be a hobby chef.

David is co-founder and Chief Technology Officer of Aiosyn. He has a background in computer science and electrical engineering, and a passion for challenges and disruptive technology. He has previous experience building scalable technology for startups as a research engineer. In addition, he holds a PhD in computational pathology with a focus on developing deep learning based algorithms. For the past two years, he has been responsible for the technology that powers Aiosyn’s AI solutions, coordinating efforts between the software engineering and the AI science teams. 

David enjoys spending time at the bouldering gym, and playing tennis and padel outside.

Jesper Kers, MD, PhD, is a consultant pathologist specialized in kidney, immuno- and transplant pathology at the Amsterdam University Medical Centers locations AMC and VUmc, and the Leiden University Medical Center in the Netherlands. His consultation practice covers a large part of the Dutch Randstad conurbation as well as the Caribbean Islands. He studied medicine at the University of Amsterdam, postgraduate training at the French National Institute for Medical Research INSERM in Paris (France) and ULB’s Institute for Medical Immunology in Brussels (Belgium) and extended residency training (computational immunology) at the Ragon Institute of MGH, MIT and Harvard University in Cambridge (US). Currently, Jesper leads a research group that investigates the use of decision support systems to improve the management of nephrological diseases with a focus on kidney transplant pathology. This includes the use of computer vision deep learning technologies to assess digitized whole slide kidney biopsy images. In 2023 he joined Aiosyn as a consultant to guide the implementation of computational renal pathology software in daily clinical practice. 

Maarten Naesens is a nephrologist at the University Hospitals Leuven, with specific interest in kidney transplantation. Next to the clinical duties, he performs translational research at the Department of Microbiology, Immunology and Transplantation at the KU Leuven, focusing on risk factors, diagnosis, and impact of kidney transplant rejection. He is Deputy Editor-in-Chief of Transplant International, the official journal of the European Society of Organ Transplantation and is involved in the organization of the ESOT and Banff congresses. He has published more than 240 peer-reviewed articles in the field of kidney transplantation.

Dr. Stegall is a transplant surgeon and researcher at the Mayo Clinic in Rochester, Minnesota, USA.  He has more than 30 years of experience.

Mayo Clinic has 3 transplant sites (Minnesota, Arizona and Florida) that collectively perform more than 1000 kidney transplants each year.  Dr. Stegall conducts research involving all 3 Mayo sites and has been the Principal Investigator on numerous multicenter trials enrolling more than 1500 patients over the past 8 years. His large research group maintains a biorepository that includes more than 15,000 digitized renal transplant biopsies. 

Dr. Stegall’s research aims to improve the outcomes of kidney transplant recipients.  A major thrust of this recent research has been in developing more quantitative, objective methods for evaluating renal transplant biopsies to better predict graft failure from early histologic changes.  His group has had a long-standing collaboration with Dr. Jeroen van der Laak at Radboud University in using Deep Learning Algorithms to automate the scoring of histologic changes in renal transplant biopsies.  Dr. Stegall also has extensive experience in investigator-initiated clinical trials and in regulatory issues regarding new drug and device development. 

Dr. Stegall is the James C. Masson Professor of Surgery Research.  The author of more than 300 publications, he has received several awards including the 2023 Medal of Excellence from the American Association of Kidney Patients and the 2011 Paul Terasaki Clinical Science Award from the American Society of Histocompatability.  He is currently the Co-Chair of the Transplant Therapeutics Consortium, a public-private partnership between the US Food and Drug Administration and the transplant community with the goal of developing new pathways for drug approval in transplantation.

Peter is a senior software engineer at Aiosyn, responsible for the cloud services and the technical infrastructure of Aiosyn. He has a background in computer science and started his career in the field of telecommunications where he learned to work in large teams and to coordinate such a team of software engineers. Later he joined a medical imaging company to work on image processing algorithms. To further pursue his interest in research and machine learning he started his PhD in the field of computational pathology. Next he worked at Thirona as a deep learning engineer and learned how to transition deep learning algorithms from research to production. At Aiosyn he uses his diverse knowledge in the field of software engineering and machine learning to build the best possible infrastructure for the company to support our advanced algorithms.

Thomas is an AI Scientist at Aiosyn. He has a BSc in Medicine and in Computer Science, followed up with a MSc in Data Science. After his studies, he started a PhD in the field of computational pathology, with a focus on quantifying risk factors of breast cancer. At Aiosyn he will continue to apply his experience in both medicine and machine learning to build capable algorithms that will be brought to the clinic. 

Thomas can often be found in the bouldering gym, and is a huge board game enthusiast.

Błażej is an AI Engineer at Aiosyn, where he transforms cutting edge research into accurate and safe AI products that help doctors and patients. He obtained his BSc in Data Science at Maastricht University and MSc in Artificial Intelligence at the University of Amsterdam. During his master’s thesis at the Netherlands Cancer Institute, he developed self-supervised learning techniques tailored for histopathological images. His strong background in deep learning coupled with experience in medical projects allows him to thrive in the intersection of these fields.

Xabier obtained his BSc in Physics at the University of the Basque Country (Spain), and an MSc in Medical Imaging at Utrecht University. During his Master’s, besides delving into the physics of medical image acquisition, he specialized in medical image processing and Artificial Intelligence, conducting two MSc research projects on 3D medical image segmentation.  His problem solving skills together with his experience in the field of AI for medical image analysis make him a valuable asset to our AI team. 

Xabier is a travel enthusiast and he loves hiking. He can be often found in a calisthenics park, and enjoys cooking and reading.

Mees completed a Bachelor’s degree in Mathematics at the Radboud University. After making the switch to theoretical Computer Science, he started getting more interested in AI, and Deep Learning in particular. At Aiosyn, Mees will conduct research into the use of generative AI for histopathological imagery.

Mees can often be found playing tennis at the local courts.

Maschenka is a medical doctor and a pathology resident at the Radboud university medical center. Maschenka obtained a PhD in Computational Pathology where she worked on AI-based prognostics for triple negative breast cancer. With this unique combination, she helps Aiosyn with developing and validating our AI-powered algorithms and making sure our solutions work in close synergy with pathologists and have a high clinical relevance.

Diana is our Regulatory Affairs Specialist. Diana has a Ph.D. in Medical Sciences from Radboud University, a Post-Doc from Tel Aviv University, and a Regulatory Affairs Specialist (Medical Devices) certificate from RA People Academy in Amsterdam. Diana has also worked for the Dutch Research Council (NWO) and the Dutch Research Agenda (NWA) on various funding calls related to (technology-driven) Applied Science research projects. Diana is a MedTech enthusiast, passionate about healthcare innovation and lifestyle improvement for both patients and healthcare professionals. At Aiosyn, Diana will help us in our mission to empower healthcare professionals with AI-powered pathology algorithms to provide a swift and accurate diagnosis.

Diana has lived in 5 different countries, and she enjoys learning new languages and getting to know different cultures. Diana practices Tap Dance and Swing Dances, in addition to (Vinyasa and Yin) Yoga. 

Nikolai obtained his BSc in Medical Physics at the University of Düsseldorf (Germany), and an MSc in Physics of Life & Health at the UvA and VU in Amsterdam. After his Masters, he started working in commercial roles within the Biotechnology sector, applying his technical knowledge to provide solutions to customers. At Aiosyn, Nikolai combines his scientific background and Sales experience to help the team in its mission to provide AI-powered pathology anywhere, anytime.

Outside of working hours, Nikolai can often be seen riding the waves, climbing, or playing chess.

Meet Nynke, our Sales Assistant at Aiosyn. She is currently pursuing her fourth year of studies in Business Administration at Radboud University in Nijmegen and she is passionate in merging her academic insights with real-world applications in the business landscape. Beyond her academic pursuits, Nynke is a proactive volunteer student consultant, offering guidance to small- and medium- size enterprises. With a keen eye for detail, she will help Aiosyn grow and identify new opportunities.

In her free time, she loves getting creative with crochet projects and hitting the pavement for a refreshing run outdoors. 

Alexander (Sasha) holds the position of a Sales Assistant at Aiosyn. Concurrently, he is pursuing a Bachelor of Science in International Business Administration at the Rotterdam School of Management, entering his third year of study. Sasha remains dedicated to utilize his  passion for finance and strong affinity for technology to drive impactful results and further Aiosyn’s growth.

Outside of the office, Sasha’s interests are as diverse as they are dynamic. He is an avid sports fan, he enjoys engaging in long debates about politics, and you can often find him either in the gym or in the kitchen, experimenting with new recipes. 

Anna is a Marketing & Communications Specialist at Aiosyn. She has a dual background in science and business, with a BSc in Biotechnology and MSc in Science and Business Management. She has been working in marketing in the biotechnology and medical devices sector the last few years and she is passionate about bringing innovative diagnostic solutions to doctors and patients. At Aiosyn, Anna will help us in our mission to empower pathologists with AI-powered pathology algorithms.

Victoria is a Marketing & Communications Assistant at Aiosyn. She is currently studying for a BSc in Food Technology at Van Hall Larenstein. She found her passion in Marketing and is now helping Aiosyn in our mission to empower pathologists with AI-powered pathology algorithms.

Victoria enjoys cooking, reading, and can often be found at the gym.

Kama is holding a Marketing & Communications Assistant position at Aiosyn. She is currently pursuing her MSc degree in Digital Marketing at the University of Amsterdam. Before that she has graduated from the University of Sheffield with the BSc degree in Biochemistry & Genetics. Combining her two passions, she is now aiding Aiosyn in delivering top-tier AI algorithms to pathologists.

In her free time she can be found on the handball court or on long walks in nature.

Lonneke is the Fractional Head of People & Culture of Aiosyn. She holds a Msc. in Systems Engineering, Policy Analysis & Management from the Delft University of Technology. She is a leader and coach with over 15 years of experience in leading and building teams in different disciplines, levels and environments, from scale-up to corporates. The last few years she was part of Aidence, one of the ambitious scale-ups in the medtech industry. She has founded her own company The Leadership Boutique through which she delivers Leadership & Team coaching for start-ups & scale-ups in the tech environment. Lonneke believes in building high performance teams through diversity and complementarity in which caring is fundamental to be daring.

Lonneke enjoys playing tennis and walking in the forest and likes to spend time with family and friends on the campsite.

Alexandra is Study & Data assistant at Aiosyn. She has a supporting role within the company by providing the Al and Clinical team with annotation work of (pathology) data and tasks related to study & clinical program management. She holds a BSc in Biology from Aristotle University of Thessaloniki, Greece, with a specialization in Molecular and Cellular Biology and Bioinformatics. Currently, she is working towards a MSc in Medical Epigenomics at Radboud University in Nijmegen, during which she has already developed a particular interest in Computational Biology and Epigenomic Data analysis. 

Alexandra loves climbing and outdoor activities, and she enjoys playing the piano and the harp.

Renske holds a BSc in Medicine from Radboud University of Nijmegen. She is currently working towards her MSc degree also in Medicine. She wants to participate in developing healthcare and has an affinity with research.

Renske likes to travel, do sports and go on spontaneous activities with friends.