Lukas Stojanov
IVF Med Tech & Digital Health
Welcome to my page
My work focuses on innovative solutions—from cryopreservation tools to AI-driven applications—that enhance precision, efficiency, and outcomes in reproductive health. Let’s shape a future of new possibilities together.
About Lukas
Lukas Stojanov is an accomplished professional with a robust background in engineering, business development, and strategic partnerships. He holds degrees in Software Engineering from the Massachusetts Institute of Technology and Mechanical Engineering from UNSW. Further enhancing his expertise, Lukas completed a certification in “Mastering Negotiation and Influence” from MIT xPRO, showcasing his skills in strategic influence and deal closure.
Currently based in Paris with his family, Lukas serves as Cryolock distributor in partnership Caring IVF, focusing on cryopreservation sales across Southern Europe. He is also the founder of Open-IVF, leveraging his technical and commercial acumen to drive innovative solutions in the fertility sector, launching successful products, and generating significant revenue growth, Lukas is committed to advancing cutting-edge solutions in healthcare and beyond.
Check out some of my project and work below!
Noteworthy experience
GeneaBiomedx/Merck
Contributed to the global delivery of groundbreaking Time-lapse technology for IVF laboratories by defining service processes, building and leading a specialized team, and expanding operations across Europe, Turkey, Brazil, China, and Japan. Collaborated with embryologists, engineers, pharmaceutical companies, and SMEs to revolutionize fertility treatment workflows and enhance patient outcomes.
Open IVF
Founded a data and medical technologies company specializing in data analysis for clinics, performance dashboards for businesses, and innovative software solutions for healthcare providers. Currently focused on driving advancements in IVF by integrating robotics to enhance precision, efficiency, and patient outcomes.open-ivf.com.
Caring IVF
Driving sales, distribution, and scientific training for laboratories across Spain, Italy, Portugal, and France, with a focus on the cryopreservation device industry. Leveraging digital marketing strategies and in-person congresses to expand the sales funnel, enhance brand visibility, and grow market share for our suppliers.
Data consulting and Software development
If you are interested in coding and would like to learn, then I recommend that you try one or more of the projects below. They help develop some core concepts in web and software development like; API calls, event handling, and DOM manipulation. Enjoy!
Neural nets for Sperm Morphology Analysis
- Deep learning and CNN can be used to classify human sperm heads into distinct categories with 84% accuracy (some misclassification of the 4 classes occurs).
- Normal sperm can be predicted with Precision of 93%.
Fertility prediction (ANZARD data Machine learning study)
- Female patient age (age_f), number of eggs retrieved at OPU (n_eggs), and nth attempt at ART (ranky) had the strongest influence on clinical pregnancy outcomes.
- Clinic 1 may be a variable with a negative effect on clinical pregnancy outcomes.
- Clinic 4 may be a variable with a positive effect on clinical pregnancy outcomes.
- Overall model performance needs to be improved if implemented for commercial use. Improvements are unlikely to come from more data points but rather NEW variables.
Patient app timelapse integration
EmbryoView is an innovative application that links with the lab’s time-lapse incubator, enabling it to provide a seamless and personalized experience for patients undergoing embryo transfers. While the gynecologist performs the procedure, the app displays a video of the transferred embryo, offering patients a unique and intimate view of their embryo’s journey.