This inventor holds 2 USPTO granted patents and 6 published patent applications. Top assignee: Jpmorgan Chase Bank, N.a.. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Niccolo Dalmasso: Innovator in Differentially Private Learning
Introduction
Niccolo Dalmasso is a prominent inventor based in Long Island City, NY. He has made significant contributions to the field of data privacy through his innovative patent. His work focuses on preserving individual privacy while modeling event sequence data, which is increasingly important in today's data-driven world.
Latest Patents
Dalmasso holds a patent titled "Method and system for differentially private learning of Hawkes processes." This patent describes a method for preserving privacy in modeling event sequence data. The process involves receiving information about a sequence of events and modeling it using a Hawkes process. This includes analyzing the received information to determine estimated values of the exogenous base intensity rate and the excitation rate. The method introduces differential privacy by adding noise to the event sequence, ensuring the privacy of individuals associated with the events. The cost of maintaining this privacy is expressed as an additional length of observation time required for accurate estimates. Dalmasso has 1 patent to his name.
Career Highlights
Niccolo Dalmasso is currently employed at JPMorgan Chase Bank, N.A., where he applies his expertise in data privacy and modeling. His work at the bank allows him to contribute to innovative solutions that enhance data security and privacy for clients.
Collaborations
Dalmasso collaborates with talented individuals such as Vamsi Krishna Potluru and Eleonora Kreacic. These collaborations foster an environment of innovation and creativity, leading to advancements in their respective fields.
Conclusion
Niccolo Dalmasso is a noteworthy inventor whose work in differentially private learning is paving the way for enhanced data privacy solutions. His contributions are vital in addressing the challenges of privacy in data modeling.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
