Our mission takes a global, experienced, talented and interdisciplinary team. We are proud of our expertise in machine learning, healthcare, regulatory and privacy.
Meet the People Behind Pacmed
Willems interest in social affairs already showed during his studies, when he founded a company in education, helping high school students. Furthermore, Willem was a member of the voluntary board of the Dutch Cancer Society, worked as data scientist for THNK: School for Creative Leadership and founded Waaromkiesjij.nl, an app that facilitates political engagement. After his participation on the National ThinkTank 2014 he founded Pacmed with Wouter and Hidde.
Willem studied Physics at the University of Amsterdam.
Wouter has worked (on the bedside and behind computers) at University Medical Center Utrecht for five years. Furthermore, he has working experience in management consulting and has worked for a software start-up and a service platform for the elderly. Wouter participated in the Dutch National ThinkTank 2014 with Willem and Hidde.
Wouter studied Medicine in Utrecht and Computational Logic at the University of Amsterdam and Stanford University.
Before Pacmed Hidde already had many years of working experience as a data analytics consultant, where he focused on helping large organisations transition to a more data-driven way of working. In 2014 he met Wouter and Willem during the National ThinkTank of which Pacmed originated.
Hidde studied at University College Utrecht before doing a Master’s in Quantitative Finance and a Master in Econometrics at the Vrije Universiteit in Amsterdam.
Taco has extensive working experience in strategy consulting. He worked 10 years at McKinsey & Co and 3 years at Gupta Strategists. He has led many data driven strategic and operational projects within healthcare.
Taco is trained as a medical doctor and holds a Bachelor's Degree in Medical Information Science.
Fascinated by human behavior, Anna Dia loves to help people, teams and organizations thrive. She specifically loves operating in the liminal phase - the often ambiguous period between the old and the new - and finds her challenge in facilitating these transition periods as best as possible.
With a broad background in the social sciences, Anna Dia looks at life from a systemic perspective and prefers taking a wide-angled approach to any challenge. She’s a certified coach with several accreditations, among others from the Bert Hellinger Institute.
Suzanne started her career as Psychology teacher at the University of Twente where she taught students in setting up and carrying out (UX) research. After this, she worked as senior UX researcher at ABN AMRO. In this role she carried out lots and different types of research: from explorative to validating research and from qualitative to quantitative research. Next to that, she matured and evolved the UX research within ABN AMRO.
Suzanne studied HBO Applied Psychology and finished her master Human Factors and Engineering Psychology at the University of Twente.
Nathan has degrees in Industrial Engineering and Manufacturing Engineering from Northwestern University.
Marijn is a former data science consultant who both built AI solutions and managed implementation of data-driven solutions, including for healthcare. He is also a former assistant professor in cognitive neuroscience who led a team investigating neural mechanisms that allow the modification of emotional memory and decision-making, aiming to support the development of novel treatments for clinical disorders.
Marijn holds a PhD (Cum Laude) from the Radboud University Nijmegen Medical Center, an MSc in Neuroscience & Cognition from Utrecht University, a BSc in Psychology from the University of Amsterdam, and was a postdoc at Universidad Politecnica Madrid and New York University.
He developed his passion for healthcare starting his career as a physical therapist. Looking for a more dynamic environment he made the switch to the medical device industry. With 11+ years of experience in the healthcare system he developed a keen understanding of the hospital environment and the importance of mastering user adoption and customer success. He is passionate about helping healthcare professionals improve their decision making, the quality of life of their patients and keeping healthcare affordable and accessible for everyone.
Ewoud studied physical therapy at the Amsterdam University of Applied Science and finished his master in Sport and Physical Activity Interventions at Maastricht University.
Brian has a passion for healthcare – specifically in combination with innovation and digitalization – striving to keep healthcare affordable, sustainable and of the highest quality. Prior to working at Pacmed Brian has gained valuable experience in managing complex software implementations in the hospital setting as consultant of the Electronic Medical Record at Chipsoft. He’ll use his knowledge and experience to increasingly let patients, doctors and hospitals (healthcare systems) benefit from the application of machine learning in clinical practice.
Brian has a background in the health sciences and completed a Master’s Programme in Management and Entrepreneurship in the Health and Life Sciences (MPA) at the VU University Amsterdam.
Before moving to Amsterdam, Mattia has worked as a researcher in astrophysics for 8 years. In Amsterdam, he led an international research team investigating dark matter by applying machine learning on enormous volumes of gamma-ray data from satellites.
Mattia obtained a PhD in Theoretical Physics in his home country Italy.
Before Pacmed, Bas worked as a software engineer at the educational tech start-up Dedact, where he made it to the position of tech lead.
Bas holds a Master’s in Econometrics of the University of Amsterdam.
Before Pacmed, Daan was a senior data science consultant & data science trainer at analytics consultancy firm MIcompany. Daan studied Econometrics at the University of Amsterdam.
Leon has experience as a product manager for IT products that are used in healthcare. Before joining Pacmed, Leon worked at both smaller start-ups as a larger multinational company.
Leon holds a Master degree in Biomedical Engineering at the Delft university of technology.
After his studies Michele worked first as a graduate research engineer in deep learning at Scuola Superiore Sant'Anna, where he researched domain adaptation methods applied to assisted-driving vehicles. He then moved to Amsterdam where he joined Bunq as a data scientist.
Michele obtained a Master's of Engineering in Biomedical Engineering and a Master's of Research in Medical Robotics & Image-Guided Intervention at Imperial College London (both with distinction).
Carsten worked as a machine learning/research engineer for Textkernel where he built deep learning models for sequence labeling and representation learning. After this, he worked as data scientist for Trivago where he learned to complete full-loop data science projects under strict time constraints.
Carsten studied Artificial Intelligence at the University of Amsterdam where he focused on machine learning for NLP and computer vision.
Next to years of freelancing and getting his own start-up off the ground, Hanne also has a lot of experience in the corporate world.
Hanne holds a Master’s in Artificial Intelligence of the University of Amsterdam.
Before Pacmed, Geert worked as a machine learning engineer consultant at Xomnia. There he worked with many clients to support them in their data needs, from data science to data engineering.
Geert has a master degree in Biomedical Sciences and Science Based Business at the University of Leiden.
As a Machine Learning specialist he also has broad ML knowledge ranging from NLP, Computer Vision to time series forecasting.
He uses all these skills to help Pacmed roll out Pacmed Critical and develop new modules for it.
His motto: ‘Never stop learning’
Previously, Sofia worked as a consultant, developing ML models for various industries and later on joined the healthcare sector during her time at SkinVision. She has a user-centric mindset, focusing on delivering value to users when building AI solutions
Sofia obtained a MSc in Artificial Intelligence from the University of Amsterdam.
He has an active sport life and became Dutch champion under 23 with competitive rowing. During his studies he gained experience in data science projects in aviation at both KLM and Qantas Airways.
Olivier did a Master’s in Aerospace Engineering at TU Delft and subsequently completed a master's degree in Econometrics at Tilburg University (with distinction).
Prathiksha brings a breadth of experience from occupying diverse technical roles in a number of industries. Previously, Prathiksha worked as a full-stack software engineer at a South African market-place scale-up, SweepSouth. She’s also worked as a data engineer on an e-Commerce platform at Nedbank, and as a cyber security consultant at F-Secure Consulting serving clients in the banking, telecommunication and insurance domains.
Prathiksha has a BSc. degree in Mechatronics Engineering from the University of Cape Town (UCT) and is currently pursuing a MSc. Eng degree focused on Machine Learning and Image Processing at UCT.
Leonardo worked as tech lead at an internal startup in a major tech consulting company in Brazil, where he was responsible for defining the technology stack, designing the software architecture and implementing the underlying infrastructure of its AIaaS offering.
Leonardo studied Computer Engineering at the Federal University of São Carlos where he focused on MLOps and hardware-accelerated algorithms.
Within Pacmed, as a front-end engineer, Sophie programs the part of the decision-support software that is visible to the intensivists, providing them with an overview of the information needed to make the right decision right at the bedside.
Before joining Pacmed, Sophie worked as a software consultant on an eHealth application aimed at measuring heart rate and blood pressure. In this role she was in constant contact with doctors, designers and developers. It was the interaction with developers that sparked her interest, which led her to take a course in full-stack web development at Ironhack.
Sophie graduated with a master's degree in Biomedical Sciences in combination with a master's degree in Science, Business & Policy from the University of Groningen.
His enthusiasm for tech and his drive to always learn and improve make him a valuable asset to the team.
Adel obtained his master at 42 Paris.
At Pacmed, he will continue his medical research to find optimal policies for calibrating decision support systems across multiple centers.
Before starting at Pacmed, Arjen obtained a MD (cum laude) and a PhD in medicine (thesis: Advancing orthostatic hypotension diagnostics). He worked at several ICU and cardiology departments in the Netherlands.
Chris is an affiliated researcher at MIT Critical Data and drives multiple research projects. Furthermore, he contributes as speaker and mentor to international datathons and conferences. Chris holds a M.D. from Maastricht University, an M.P.H. from Harvard University, and a Ph.D. from the Free University Amsterdam. He won a three-years DFG co-funded clinician scientist program and is currently establishing his own research group at Essen University Hospital.
Giovanni is one of the first employees of Pacmed, having extensive working experience as a medical data scientist on the prognosis of chronic diseases in primary care. His formation comprised Philosophy, Mathematics and applied AI: he obtained a MSc in Philosophy of Science from LSE and a PhD in Mathematical Logic at the University of Amsterdam.
Interested in becoming the next Pacmedder?
It’s great to be part of a passionate team of people who have the drive to improve healthcare. I love the inspiring and social culture within Pacmed, which allows you to flourish in your work but also brings happiness and fun to the workplace.SophieFront-end Engineer
I really enjoy working at Pacmed for our shared mission to turn healthcare into a learning system by making better/smarter use of data for healthcare professionals and patients alike. Contributing to this in our ambitious, smart and fun team makes it a pleasure to go to work every day!BrianImplementation Manager
The very first thing that attracted me about Pacmed was the solidity of its mission: the desire to use data to improve patient care, support clinicians’ work and contain healthcare costs. I remember thinking “Yes, I want to work towards that”.GiovanniResearch Lead
The first thing I love about Pacmed is our mission: we're in it to improve healthcare with AI. While doing that I especially like that we're pioneering and innovating with AI in healthcare. Our mission brings so many interesting challenges for a data scientist: dealing with the huge amount of parameters registered continuously for a patient at the hospital, deciding how to go about model interpretability, uncertainty, causal inference, monitoring, dealing with missing values, etc. Tackling these challenges in the right way is essential for responsibly implementing AI in healthcare.DaanLead Data Scientist