Aleksei Tiulpin
Assistant Professor, AI In Radiology at Weill Cornell Medicine
New York, New York, United States
Summary
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Senior🎓
Top SchoolAleksei Tiulpin is an Assistant Professor and AI-in-Radiology researcher with 11 years of experience building machine learning and computer vision solutions for healthcare. He leads an independent lab focused on disease prevention and reducing treatment complications, translating deep-learning advances from academic projects into clinical and startup contexts. His background spans postdoctoral roles across Europe, a PhD with distinction in biomedical engineering, and technical leadership as CTO and co-founder of a medical AI company. He has hands-on experience founding multiple healthtech startups (including three that taught him hard lessons in fundraising, equity and product–market fit) and an extensive publication and mentoring track record in osteoarthritis imaging. Based in New York, he combines research rigor with operational experience and a network of international VCs that helps bridge lab innovations to real-world impact.
11 years of coding experience
11 years of employment as a software developer
Title of Docent, Machine Learning: Medical Imaging, Title of Docent, Machine Learning: Medical Imaging at University of OuluSpecialist degree, Applied Mathematics and Computer Science, Specialist degree, Applied Mathematics and Computer Science at Northern (Arctic) Federal University named after M.V. Lomonosov, Russia
English, Russian, Finnish
Github Skills (48)
reproducible-research10
pytorch10
batch-normalization10
image-recognition10
medicine10
stream10
image-segmentation10
localization10
deep-learning10
segmentation10
radiology10
biomedical-engineering10
data-augmentation10
medical10
streaming10
Programming languages (5)
Github contributions (5)
imedslab/DeepKnee
Jul 2017 - Apr 2020
Codes for paper: Automatic Knee Osteoarthritis Diagnosis from Plain Radiographs: A Deep Learning-Based Approach
Contributions:2 releases, 83 commits, 4 PRs in 2 years 8 months
deep-learningmedicalpytorchkneebiomedical-engineering
lext/deep-pipeline
May 2019 - Oct 2019
Building blocks for deep learning pipelines
Contributions:43 commits, 32 pushes, 1 branch in 5 months
deep-learning
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