This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Jpmorgan Chase Bank, N.a.. Active years: 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: 2026
Title: Kshama Dwarakanath: Innovator in Probabilistic Learning Algorithms
Introduction
Kshama Dwarakanath is a notable inventor based in New York, NY (US). She has made significant contributions to the field of probabilistic learning algorithms, particularly in the context of optimal stopping methods. Her innovative approach has the potential to enhance decision-making processes in various applications.
Latest Patents
Kshama holds a patent for a method and system for optimal stopping using fast probabilistic learning algorithms. This patent, titled "Method and system for optimal stopping using fast probabilistic learning algorithms," describes a method that utilizes a Gaussian Process-based algorithm to approximate the optimal stopping of a time series corresponding to a sequence of events. The method involves receiving information related to an event sequence, estimating potential rewards for stopping at different times, and determining the optimal time for stopping based on these estimates.
Career Highlights
Kshama Dwarakanath is currently employed at JPMorgan Chase Bank, N.A., where she applies her expertise in probabilistic learning algorithms. Her work focuses on developing advanced methodologies that can improve financial decision-making and risk assessment.
Collaborations
Kshama has collaborated with notable professionals in her field, including Tucker Richard Balch and Peyman Tavallali. These collaborations have contributed to her innovative research and development efforts.
Conclusion
Kshama Dwarakanath is a pioneering inventor whose work in probabilistic learning algorithms is shaping the future of decision-making processes. Her contributions are valuable to both the academic and financial sectors.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
