Draft:Daniele Panfilo
| Submission declined on 25 February 2024 by Ldm1954 (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|  |
Comment: The bar is very high for notability. While he has made a good start, not enough achievements so far. Please come back in a few years. Ldm1954 (talk) 23:18, 25 February 2024 (UTC)
Daniele Panfilo is an Italian scientist and entrepreneur specialized in responsible artificial intelligence (AI) and information privacy. his pioneering work in synthetic data led to the founding of his company Aindo, offering data privacy and fairness solutions.[1].
Besides his scientific and entrepreneurial activities, Daniele is a renowned thought leader in responsible AI, appearing in panels alongside policy makers, data protection authorities, and Big Tech companies[2][3][4]. Daniele's views on AI are generally optimistic, marked by a recognition for the field's potential in high-impact sectors[5][6][7]. He is also outspoken about the need for the European Union and Italy to be competitive in the realm of AI[8][9].
Education and career[edit]
Daniele obtained a master's degree in Operations research from the Department of Knowledge Engineering and Data Science at Maastricht University. He commenced his career at Medtronic, where he made contributions to Electrocardiography data processing[10][11]. He later expressed that these early experiences with AI in health care were highly formative for his views of AI and its societal role[12].
After working as a principal data scientist at Allianz Technology in Trieste, Daniele founded his company Aindo in 2018. At the same time, he became affiliated with the University of Trieste as a researcher in Generative artificial intelligence. Combining his entrepreneurial and scholarly work, he shaped his vision to foster responsible AI innovation through generative AI-based Synthetic data. Daniele obtained his doctoral degree in from the University of Trieste in 2022[13].
Work on synthetic data[edit]
Daniele's work on synthetic data centers around Deep learning Generative models. His contributions to the field include preprocessing technologies that allow for the use of deep learning generative models in the context of structured data. These methods allow for the synthetization of synthetic tabular and relational data with a multitude of data types, including numeric, categorical, spatial, and time data[14][15][16]. Aspects of this work were patented in 2023[17].
Additionally, Daniele has contributed to the standardization and quantification of the concept of information privacy[18][19]. Speaking about the moratorium on AI development proposed by Elon Musk in early 2023, he noted that under the right conditions, synthetic data can reconcile much needed AI innovation with information privacy protection[20].
Awards and recognition[edit]
In 2023, Daniele's company Aindo was awarded Best Startup in Industry by Fortune Italia[21]. In that same year, Daniele was inducted into the Nova-111 list of top talents under 35[22]
- ^ "About Us". aindo.com. 2023-01-16. Retrieved 2024-02-09.
- ^ "Intelligenza artificiale, i dati sintetici per un uso più etico". Il Sole 24 ORE (in Italian). 2024-02-13. Retrieved 2024-02-13.
- ^ "SHARING IS CARING: BEST PRACTICES, INTERMEDIARIES AND SYNTHETIC DATA FOR DATA SPACES". www.cpdpconferences.org. Retrieved 2024-02-09.
- ^ "Congresso annuale ASSO DPO - Relatori". www.assodpo.it. Retrieved 2024-02-09.
- ^ Pulcini, Alessandro (2023-03-14). "Aindo, la partita dei dati sintetici nell'era dell'AI". Fortune Italia (in Italian). Retrieved 2024-02-09.
- ^ Nast, Condé (2022-01-09). "Una startup crea dati che non esistono per addestrare l'intelligenza artificiale". Wired Italia (in Italian). Retrieved 2024-02-09.
- ^ "Regione Lombardia e Aindo insieme per il futuro dell'intelligenza artificiale: a Palazzo Pirelli incontri e dibattiti su uso etico dell'AI, dati e privacy". www.liberoquotidiano.it (in Italian). Retrieved 2024-02-13.
- ^ Riservata, © Riproduzione (2024-02-13). "Intelligenza artificiale, i dati sintetici per un uso più etico". www.ilmessaggero.it. Retrieved 2024-02-13.
- ^ "Regione Lombardia e Aindo insieme per un uso etico dell'intelligenza artificiale". Tgcom24 (in Italian). 2024-02-14. Retrieved 2024-02-14.
- ^ Wilson, David G; Cronbach, Peter L; Panfilo, D; Greenhut, Saul E; Stegemann, Berthold P; Morgan, John M (2017-06-01). "Reconstruction of an 8-lead surface ECG from two subcutaneous ICD vectors". International Journal of Cardiology. 236: 194–197. doi:10.1016/j.ijcard.2017.01.117. ISSN 0167-5273. PMID 28159357.
- ^ Wilson, David G.; Cronbach, Peter L.; Panfilo, D.; Greenhut, Saul E.; Stegemann, Berthold P.; Morgan, John M. (2017-04-01). "Electrode positions, transformation coordinates for ECG reconstruction from S-ICD vectors". Data in Brief. 11: 611–616. Bibcode:2017DIB....11..611W. doi:10.1016/j.dib.2017.02.041. ISSN 2352-3409. PMC 5369008. PMID 28377992.
- ^ "Aindo Secures Investment How, Why, What's Next?". aindo.com. 2023-10-31. Retrieved 2024-02-09.
- ^ "Panfilo Daniele | Dottorato in ingegneria industriale e dell'informazione". web.units.it. Retrieved 2024-02-09.
- ^ Panfilo, Daniele; Boudewijn, Alexander; Saccani, Sebastiano; Coser, Andrea; Svara, Borut; Chauvenet, Carlo Rossi; Mami, Ciro Antonio; Medvet, Eric (2023). "A Deep Learning-Based Pipeline for the Generation of Synthetic Tabular Data". IEEE Access. 11: 63306–63323. Bibcode:2023IEEEA..1163306P. doi:10.1109/ACCESS.2023.3288336. Retrieved 2024-02-09.
- ^ "Generating Privacy-Compliant, Utility-Preserving Synthetic Tabular and Relational Datasets Through Deep Learning". arts.units.it. Retrieved 2024-02-09.
- ^ Mami, Ciro Antonio; Coser, Andrea; Medvet, Eric; Boudewijn, Alexander T. P.; Volpe, Marco; Whitworth, Michael; Svara, Borut; Sgroi, Gabriele; Panfilo, Daniele (2022-11-30), Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders, arXiv:2211.16889
- ^ "Espacenet – search results". worldwide.espacenet.com. Retrieved 2024-02-09.
- ^ bloomsbury.com. "Data Protection and Privacy, Volume 16". Bloomsbury. Retrieved 2024-02-09.
- ^ Boudewijn, Alexander; Ferraris, Andrea Filippo; Panfilo, Daniele; Cocca, Vanessa; Zinutti, Sabrina; De Schepper, Karel; Chauvenet, Carlo Rossi (2023-11-29), Privacy Measurement in Tabular Synthetic Data: State of the Art and Future Research Directions, arXiv:2311.17453
- ^ Nast, Condé (2023-04-04). "Quanto pesa il blocco di ChatGPT sul business delle aziende". Wired Italia (in Italian). Retrieved 2024-02-09.
- ^ Santamato, Antonio (2023-05-04). "Forum Innovazione, le startup vincitrici degli Innovation Awards". Fortune Italia (in Italian). Retrieved 2024-02-09.
- ^ "The Nova 111 List Italy - Winners 2023". www.novatalent.com. Retrieved 2024-02-09.