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Systems and Methods for Analyzing Genetic Data for Assessment of Gene
Regulatory Activity in Disease Prediction, Diagnosis and Treatment
Princeton Docket # 21-3806
Sequence is at the basis of how the genome and its variations shape chromatin organization, regulate gene expression, and impact traits and diseases. Epigenomic profiling efforts have...
Published: 9/29/2025
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Inventor(s): Olga Troyanskaya, Kathleen Chen, Jian Zhou
Keywords(s):
Category(s): Biotechnology/Pharmaceuticals, Medical Devices/Diagnostics, Computer Science and Information Technology
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De novo prediction of tissue-specific expression effect and disease risk for every mutation in a human genome - ExpectoPrinceton Docket # 18-3423Sequence-based models, with their scalability and usage of sequence dependencies, enable a new era of mutation analysis at unprecedented scale that can yield a new perspective on human variation in human diseases...
Published: 9/29/2025
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Inventor(s): Olga Troyanskaya, Jian Zhou, Chandra Theesfeld
Keywords(s):
Category(s): Biotechnology/Pharmaceuticals, Computer Science and Information Technology
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DeepSEA and Seqweaver: Deep learning frameworks for the identification of de novo disease-causing mutations in noncoding sequences
Princeton Docket #s 18-3426, 18-3440
Researchers at Princeton University and Rockefeller University have collaborated to establish methods for the identification of de novo mutations in the vast noncoding genomic sequences....
Published: 9/29/2025
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Inventor(s): Jian Zhou, Olga Troyanskaya, Christopher Park, Robert Darnell, Chandra Theesfeld
Keywords(s):
Category(s): Computer Science and Information Technology
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Lightweight Out of Order Scheduler for GPUs
Princeton Docket # 24-4082-1
Graphics processing units (GPUs) accelerate parallel applications, such as machine learning and autonomous vehicles. Despite abundant parallelism in these applications, many programs still exhibit significant stalls. Previous proposals suggest adding out-of-order (OoO) execution...
Published: 4/14/2025
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Inventor(s): Ishita Chaturvedi, Bhargav Godala, David August
Keywords(s):
Category(s): Computer Science and Information Technology, Mechanical Engineering and Robotics
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Efficient Decoding Algorithms for Reed-Muller Codes, Recursive Projection-Aggregation and List-Decoding
Princeton Docket # 19-3543-1
Reed-Muller (RM) codes are among the oldest families of error-correcting codes. Compared to polar codes, RM codes have the advantage of having a simple and universal code construction, though RM codes do not yet possess...
Published: 4/10/2025
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Inventor(s): Min Ye, Emmanuel Abbe
Keywords(s):
Category(s): Computer Science and Information Technology
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Privacy-preserving AI over Next Generation Networks
Princeton Docket # 24-4056-1
Artificial intelligence (AI) is a key technology for next-generation networks; it will empower new functionalities to enable low-latency inference and sensing applications, including autonomous driving, personal identification, and activity classification (to name a few)....
Published: 3/28/2025
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Inventor(s): Andrea Goldsmith, H. Vincent Poor, Mohamed Seif
Keywords(s):
Category(s): Computer Science and Information Technology
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Training Neural Networks with a Hybrid Optimization Method of Genetic and Gradient Descent Algorithms
Princeton Docket # 25-4214
Neural networks are a powerful class of machine learning model that learn to perform useful operations such as classification, inference, and generation, and can be applied to a range of tasks, such as analysis and generating...
Published: 5/8/2025
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Inventor(s): Benjamin Midler
Keywords(s):
Category(s): Computer Science and Information Technology
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AutoPersuade: A framework for generating, evaluating and, revising arguments
Princeton Docket # 24-4141-1
AutoPersuade is an innovative framework for generating, evaluating, and refining persuasive arguments. This technology offers a comprehensive solution for organizations and individuals seeking to create more effective messaging across various...
Published: 10/7/2025
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Inventor(s): Brandon Stewart, Till Raphael Saenger, Musashi Hinck, Justin Grimmer
Keywords(s):
Category(s): Computer Science and Information Technology
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Methods for data multiplexing in neural networks
Princeton Docket # 22-3898-1
Current neural network architectures, particularly Transformers, face significant challenges due to their GPU-memory intensity, which limits throughput and increases time and energy costs during training and deployment. To address this issue, Princeton University researchers...
Published: 10/21/2024
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Inventor(s): Karthik Narasimhan, Vishvak Murahari, Carlos Jimenez, Runzhe Yang, Kai Li, Ameet Deshpande, Yushan Su
Keywords(s):
Category(s): Computer Science and Information Technology
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Peak Electric Load Prediction
Princeton Docket # 24-4155-1
In today's energy landscape, commercial and industrial users face escalating peak demand charges, which can significantly impact their operating costs. These charges, determined by the highest levels of energy consumption during peak periods, can account for 10% to 40% of a customer's...
Published: 9/26/2025
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Inventor(s): Rene' Carmona, Xinshuo Yang, Claire Zeng, Siddharth Bhela
Keywords(s):
Category(s): Computer Science and Information Technology
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