Alexandros Karargyris
Working Group Chair at MLCommons
Basel, Basel-City, Switzerland
Summary
👤
Senior🎓
Top SchoolAlexandros Karargyris is a medical imaging and machine learning researcher with a decade of experience advancing clinical AI, federated learning, and medical device prototyping. As Working Group Chair at MLCommons he leads open benchmarking efforts for impactful clinical AI and co-drives the MedPerf platform used by industry and academia. His background spans research and applied development—from designing deep learning detectors at IBM and portable ophthalmoscope prototypes for low-resource settings to TB detection algorithms at the National Library of Medicine. He has led federated learning and Surgical AI projects at IHU Strasbourg and maintains a strong academic foundation with a PhD in Computer Science & Engineering. Based in Basel, he combines rigorous research with product-minded deployment experience across global health contexts. A less obvious strength is his track record of translating niche research (mobile health and PoC devices) into practical tools for under-resourced care environments.
10 years of coding experience
12 years of employment as a software developer
MA; 2006 (Bachelor and masters Electrical and Computer Engineering; combined, MA; 2006 (Bachelor and masters Electrical and Computer Engineering; combined at National Technological University of AthensPh.D Computer Science & Engineering, Ph.D Computer Science & Engineering at Wright State University
Greek, German, English
Github Skills (44)
benchmarking9
android-app9
opencv8
caffe8
elastix7
artificial-intelligence7
representations7
maven6
code-generation6
image-registration6
representation-learning6
simpleitk6
mongodb5
code-intelligence5
autoencoder5
Programming languages (6)
Github contributions (5)
mlcommons/medical
Jul 2020 - Apr 2022
Medical ML Benchmark
Contributions:4 commits, 2 PRs, 1 push in 1 year 8 months
machine-learning
alexkarargyris/Caffe_OpenCV_Android_App
Oct 2015 - Jan 2016
This is an example of an Android app that uses OpenCV DNN module to load a Caffe model and predict an image. It implements the tutorial from http://docs.opencv.org/master/d5/de7/tutorial_dnn_googlenet.html#gsc.tab=0
Contributions:19 commits, 16 pushes, 2 branches in 2 months
android-appcaffe
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