Marco Cipriano
PHD Student at Hasso Plattner Institute
Potsdam, Brandenburg, Germany
Summary
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Senior🎓
Top SchoolMarco Cipriano is a Ph.D. student at the Hasso Plattner Institute with eight years of experience applying deep learning to multimodal problems, particularly vision-and-language models and vector graphics. His background includes research roles in 3D medical image segmentation and internships focused on generative and semi-supervised models for remote sensing, reflecting a strong applied ML foundation across domains. Trained in computer engineering (Master's with top honors) from Università di Modena e Reggio Emilia, he blends rigorous academic training with hands-on model development. Marco’s work sits at the intersection of multimodal representation learning and practical segmentation tasks, and he brings experience moving research prototypes toward domain-specific applications. Colleagues describe him as detail-oriented and curious, with a knack for bridging theoretical ideas and real-world datasets.
8 years of coding experience
liceo classico "G. meli"master degree, Intelligent Cyber Systems - computer engineering, 110/110, master degree, Intelligent Cyber Systems - computer engineering, 110/110 at Università degli Studi di Modena e Reggio Emilia
Github Skills (34)
arxiv9
segmentation8
medical-image-analysis8
propagation7
pdf7
ieee7
data-augmentation7
medical6
deep-learning6
multimodal6
python6
pytorch6
volumes6
medical-imaging5
transformer5
Programming languages (5)
Github contributions (5)
potpov/wondertime
Feb 2019 - Oct 2021
Social platform for traveller built on Flask and React
Contributions:1 PR, 14 pushes, 1 branch in 2 years 8 months
reactsocial-platformflasktravellerreactjs
potpov/New-Maxillo-Dataset-Segmentation
Oct 2021 - Dec 2022
Source code for the paper: "Deep Segmentation of the Mandibular Canal: a New 3D Annotated Dataset of CBCT Volumes.", IEEE Access
Contributions:4 commits, 2 pushes, 1 comment in 1 year 1 month
volumesdeep-learningdatasetcomputer-visioncanal
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