Research scientist, AI applied to medical imaging
I am passionate about using AI to prevent people from getting sick and help people who are sick.
News
July 21, 2022
It was an honour to attend our IPO ceremony at KOSDAQ this morning.
Congratulations to everyone involved who worked hard for this.
July 18. 2022
We are organizing a tutorial on AI for medical image analysis in practice at MICCAI in Singapore this year. The tutorial is half a day and will cover all topics relevant for building a real world AI application, from data collection to model development, infrastructure, evaluation and finally regulatory approval.
The keynote will be delivered by Prof. Dr. Michael Abramoff, the pioneer behind the first FDA approved autonomous AI system for medical image analysis.
If you are interested, please sign up. For more information see here and our website
April 16, 2021
I wrote a blog post on data augmentation in X-ray and CT
October 21, 2020 Gradient article
I wrote an article for The Gradient on why some problems in medical image analysis are hard for AI
August 2, 2020 Blog on augmented intelligence
I wrote a blog post on cognitive biases and computer aided diagnosis
July 13, 2020 Lunit
I joined Lunit as a research scientist
Jun 3rd, 2020. Blog on breast cancer screening
I wrote a blog post on breast cancer screening data and how understanding it better can help train/understand AI models for breast cancer screening
Jun 3rd, 2020 Vara received 6.5M Series A
Vara closed the series A round, congrats guys!
Jan 9, 2020 WHO talk
We believe the key to making autonomous AI is handling edge cases well. I gave a talk about 'the long tail of medical data' and participated in the WHO workshop on Artificial Intelligence for Health that aims to build a standardized assessment framework for medical AI.
Oct 31, 2019 Vara obtains CE2B regulatory approval
Our triaging solution for breast cancer screening obtained CE2B regulatory approval for use in the EU!
May 21, 2019 NVML talk
I gave a talk at the NVML spring event in the Netherlands entitled ‘Wat we kunnen leren van koekjesrecepten on kanker beter te detecteren’ (what we can learn from cookie recipes to better detect cancer’
May 9, 2019 Ministry of testing talk
I gave a talk on AI for mammography at the ‘ministry of testing’ meetup in Berlin
May 2, 2019 Meetup.ai talk
I gave a talk at Berlin’s AI meetup on the difference between natural and medical data and how to adjust deep neural networks accordingly.
March 21, 2019 Machine learning for healthcare talk
I gave a talk at the machine learning for healthcare meetup entitled
‘Why skin lesions are peanuts and breast tumors a harder nut’ on why some medical imaging problems are harder to tackle than others
March 4, 2019 IBB research grant awarded
Our research grant from the IBB for the development of a deep learning based triaging solution for mammography was awarded!
Dec 19, 2018 Blog post on deep learning for medical data
I wrote a blog post on the differences between natural and medical data and how to adjust deep neural networks to work well for medical images.
Dec 5, 2018 Data & drinks talk
I gave a talk at the data and drinks meetup in Berlin on deep learning based solutions for the detection of breast cancer
Oct 25, 2018 Blog post on anomaly detection
Wrote a blog post on anomaly detection and its application to medical data. Something I think is crucial to reach autonomous AI.
Jan 15, 2018 Defended my Ph.D.
I successfully defended my Ph.D. thesis entitled ‘Computer aided diagnosis of breast cancer in mammography using deep neural networks’