My Resume

I have worked with many technologies and programming languages, developing projects for companies or for myself. I started programming with Angular 2 and Node.js, developing web applications. In the last years, I improved a lot my Python knowledge, working with ML frameworks such as TensorFlow, PyTorch and Scikit-Learn.

In my experience as a freelancer, I constantly find myself planning my daily work, client meetings, and collaborations with other professionals. Therefore, I am capable of independently organizing my own work as well as that of the team I work with. I can manage overload or stress situations while meeting imposed deadlines.

Education

I have a Master's degree in Computer Science with a specialization in Cloud Computing from the Università degli Studi di Salerno.

• Master's Degree in Computer Science, Cloud Computing specialization @ Università degli Studi di Salerno
  from October 2023 to July 2025
  110/110 cum Laude
  I wrote a thesis based on a a Discrete Denoising Diffusion Model I've developed, which is able to generate large real-world Hypergraphs efficiently and effectively.
• Bachelor's Degree in Computer Science @ Università degli Studi di Salerno
  from September 2020 to October 2023
  110/110 cum Laude
  I wrote a thesis on the application of Variational AutoEncoders and GANs to generate Real-World Hypergraphs.

Courses and Summer Schools

• 8th Advanced Course on Data Science & Machine Learning @ Castiglione della Pescaia
  from 9 to 12 June 2025
  This course is a full-immersive experience on cutting-edge advances in Deep Learning, Data Science and Generative AI with lectures delivered by world-renowned experts.

Experience

Publications

• Alessia Antelmi, Gennaro Cordasco, Daniele De Vinco, Valerio Di Pasquale, Mirko Polato, and Carmine Spagnuolo. 2025. Hypergraph Motif Representation Learning. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 (KDD '25). Association for Computing Machinery, New York, NY, USA, 13–24. https://doi.org/10.1145/3690624.3709274

Professional Experience

Regarding my professional experience, I mainly worked as a self-employed developer, developing web applications and websites for small businesses.

• Webmaster of the "Casa Elegió" web platform - from 2021
  • I developed Website using WordPress
  • Content and layout management
  • SEO optimization
• Webmaster of the "Libri per il Successo" web platform - from 2021
  This role was extremely interesting and stimulating. Libri per il Successo has become a reference point for those looking to improve their lives and achieve their goals.
  • I developed this Website using WordPress
  • Content and layout management
  • SEO optimization
• Digital Solutions Developer for an Online Newspaper at Fine Art Produzioni SRL - from 2021 to 2023
  • Development of a smart tv application for the online newspaper "Webmarte" using Angular 2
  • Website development using WordPress

Stuff

In this section, you will find books, articles, and other resources that I have found interesting and useful for both my work and my education. I am particularly passionate about studying the application of Graph Neural Networks (GNNs) in real-world problems. GNNs offer powerful tools for analyzing and interpreting complex data structures found in social networks, biological systems, recommendation engines, and many other domains. Through these resources, I aim to share insights and knowledge that highlight the transformative potential of GNNs and other cutting-edge technologies. Whether you are a student, a researcher, or a professional, I hope you will find valuable information that can inspire and assist you in your own projects and studies.

Books I Recommend

• Introduction to Machine Learning with Python: A Guide for Data Scientists (Andreas Müller)
• Bootstrap: Responsive Web Development (Jake Spurlock)
• Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are (Seth Stephens-Davidowitz)

Papers I Like

• Hypergraph Motifs: Concepts, Algorithms, and Discoveries (Geon Lee, Jihoon Ko, Kijung Shin)
• Variational Graph Auto-Encoders (Thomas N. Kipf, Max Welling)
• Structural Patterns and Generative Models of Real-world Hypergraphs (Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin)
• The link prediction problem for social networks (David Liben-Nowell, Jon Kleinberg)
• Random walk with restart on hypergraphs: fast computation and an application to anomaly detection (Jaewan Chun, Geon Lee, Kijung Shin, Jinhong Jung)

My Skills

I have worked with many technologies and programming languages, developing projects for companies or for myself. I started programming with Angular 2 and Node.js, developing web applications. In the last years, I improved a lot my Python knowledge, working with ML frameworks such as TensorFlow, PyTorch and Scikit-Learn.

Contact

If you want to get in touch with me, feel free to send an email to valeriodipasq@gmail.com. I am always open to discussing new projects, creative ideas, or opportunities to be part of your visions.

You can also connect with me on LinkedIn to view my professional experiences and network with other industry professionals. Additionally, check out my GitHub profile to explore some of the projects I've worked on and my contributions to the open-source community.