Sean Moran Sean Moran
London · AI Engineer · Researcher

Hi, I'm Sean Moran.

I build production GenAI for some of the most regulated, highest-stakes computing environments on earth — Fortune-100 banks. My research lives at the intersection of retrieval, representation learning, and reliable agents: making large models useful when correctness, latency, and audit-readiness are non-negotiable.

PhD at EdinburghNLP. CVPR / ECCV / ICPR / SIGIR. Granted US patents in federated learning, retrieval, and source-code understanding.

40+Peer-reviewed papers · Scholar 25+Granted US patents 10+Open-source projects
Research statement → Google Scholar Contact

CV available on request — email sean.j.morangmail.com .

Portrait of Sean Moran

Now — recent work

Selected work

A focused slice — full list further down.
DeepLPF before/after image enhancement
CVPR 2020

DeepLPF

Deep local parametric filters that learn ellipse, gradient, and polynomial transforms for photo-quality image enhancement — interpretable, parameter-efficient, SOTA on MIT-Adobe FiveK.

Paper Code Video
CURL neural curve layers result
ICPR 2020

CURL — Neural Curve Layers

A small, differentiable colour-curve module that turns global tone-mapping into a learnable layer — beats much larger image-enhancement networks on three benchmarks.

Paper Code Talk
Low-light video enhancement with SIDGAN
ECCV 2020

SIDGAN — Low-Light Video

A two-stage CycleGAN that synthesises realistic low-light raw video to train enhancement networks where real labelled data doesn't exist.

Paper Code Demo
SpamT5
Few-shot LLM
spam detection
FinLLM @ IJCAI 2023

SpamT5

Benchmarking LLMs for few-shot email spam detection. Open-sourced through JPMorgan — a rare public reference for production-grade prompt-and-finetune workflows in finance.

Paper Code
CodeQuest
LLMs for
code quality
ISSREW 2025

CodeQUEST

Using LLMs to evaluate and incrementally improve code quality with verifiable, dimensioned feedback — deployed inside JPMorgan's developer workflow.

Paper Code
Patents portfolio
USPTO · 2024 – 2025

Patent portfolio

5 granted US patents in two years across federated vocabulary learning, source-code spatial representations, hashing, code duplication, and biometric anonymisation. 50+ applications filed.

See all →

Patents

Granted and pending US patents — covering federated learning, retrieval, code understanding, anomaly detection, and image processing.
2026
Prediction of Test Failures
G. Papadopoulos, F. Silavong, S. Moran, A. Nadein
US 12,554,618 · 2026 · JPMorgan Chase
2026
Anomaly Detection in Software-Defined Networks from Observed Host Metrics
N. Ghalyan, A. Vaidya, A. Frade, S. Moran
US 12,580,818 · 2026 · JPMorgan Chase
2026
Generating Document Formatting and Content Using Generative AI
A. Frade, M. Kaiser, M. Labonne, S. Moran, J. Donnelly, D. Roose
US 12,536,236 · 2026 · JPMorgan Chase
2026
Risk Diagnosis of Cryptocurrency Addresses on Blockchains
X. Zhi, Y. Satsangi, S. Eloul, S. Moran, A. Stoliar
US 12,524,723 · 2026 · JPMorgan Chase
2025
Operational Risk Management of IT Assets and Systems
D. Algorry, K. Gourgoulias, S. Moran, W.J. Guest, B. Peikon, S. Kati
US 12,513,061 · 2025 · JPMorgan Chase
2025
Counteracting Data-Skewness for LSH via Feature Selection and Pruning (continuation)
S. Moran, F. Silavong, R. Otter, A. Georgiadis, B. Sanford
US 12,481,634 · 2025 · JPMorgan Chase
2025
Noise-Agnostic Federated Learning
A. Georgiadis, F. Silavong, S. Moran, R. Otter, V. Babbar
US 12,400,430 · 2025 · JPMorgan Chase
2025
Improving Efficiency and Control Compliance Across SDLCs Using Domain-Specific Controls
P. MacIver, S. Moran, B. Spiers, R. Otter
US 12,393,401 · 2025 · JPMorgan Chase
2025
Federated Model Validation and Data Verification
S. Eloul, S. Moran, F. Silavong, S. Kamthe, A. Georgiadis
US 12,386,979 · 2025 · JPMorgan Chase
2025
Automated Code Analysis and Tagging (continuation)
S. Moran, S. Sanat, G. Singh, F. Silavong, A. Georgiadis
US 12,379,923 · 2025 · JPMorgan Chase
2025
Method and System for Proficiency Identification
S. Tripuraneni, D. Yu, S. Eloul, S. Moran, L. Newman
US 12,361,363 · 2025 · JPMorgan Chase
2025
Federated Secure Vocabulary Learning
F. Silavong, A. Georgiadis, S. Moran, B. Sanford, R. Otter
US 12,284,160 · 2025 · JPMorgan Chase
2025
Source Code Understanding via Spatial Representations
R. Shi, S. Moran, L. Tao, F. Silavong, R. Saphal
US 12,242,829 · 2025 · JPMorgan Chase
2025
Counteracting Data-Skewness for LSH via Feature Selection and Pruning
S. Moran, F. Silavong, R. Otter, A. Georgiadis, B. Sanford
US 12,229,100 · 2025 · JPMorgan Chase
2025
Multi-Signal Pattern Matching with Graph Propagation
F. Silavong, S. Moran, G. Papadopoulos, S.O. Adebayo, W. Covell
US 12,197,911 · 2025 · JPMorgan Chase
2025
Image Processor
S. Moran, G. Slabaugh
US 12,190,488 · 2025 · Huawei Technologies
2024
Code Repository Embedding for Tagging and Summarization via Multi-Domain Attention
S. Eloul, A. Lhérondelle, S. Moran, F. Silavong, Y. Satsangi
US 12,182,547 · 2024 · JPMorgan Chase
2024
Detecting Code Duplication in Codebases
R. Saphal, F. Silavong, S. Moran, A. Georgiadis, S. Saha, G. Singh
US 12,159,127 · 2024 · JPMorgan Chase
2024
Noise Estimation
H. Guan, G. Slabaugh, L. Liu, S. Moran, Z. Fu
US 12,118,695 · 2024 · Huawei Technologies
2024
Streaming Classification of Distributed Ledger-Based Activities
S. Eloul, S. Moran, J. Mendel, S. Balitsky, T. Dadia
US 12,050,573 · 2024 · JPMorgan Chase
2024
Auto-Captioning Repositories from Source Code
Y. Satsangi, S. Eloul, S. Moran
US 12,039,296 · 2024 · JPMorgan Chase
2024
Automated Code Analysis and Tagging
S. Moran, S. Sanat, G. Singh, F. Silavong, A. Georgiadis
US 12,008,365 · 2024 · JPMorgan Chase
2024
Anonymizing a Dataset of Biometric Data While Retaining Data Utility
B. Moriarty, S. Hu, M. Pistoia, H. Kalsi, S. Moran, B. Sanford
US 11,921,896 · 2024 · JPMorgan Chase
2024
Detecting Secrets in Source Code
S. Moran, A. Emami, F. Silavong, J. Fainberg, A. Tiwari, A. Georgiadis
US 11,868,768 · 2024 · JPMorgan Chase
2023
Method and System for Automatic Assignment of Code Topics
S. Eloul, S. Moran, J. C-T. Chan
US 11,782,700 · 2023 · JPMorgan Chase
2023
Method and System for Library Package Management
L. Tao, S. Moran, S. Sanat, F. Daler, G. Singh, A. Alexander
US 11,775,265 · 2023 · JPMorgan Chase
2023
Linear Late-Fusion Semantic Structural Retrieval
S. Moran, F. Silavong, R. Otter, B. Sanford, A. Georgiadis
US 11,625,423 · 2023 · JPMorgan Chase
2026
Anomaly Detection and Deployment Framework for Mainframes
A. Mohammed, S. Moran, R.D. Lauttamus, S. John
US App. 18/763,672 · 2026 · JPMorgan Chase
2025
Federated Model Validation and Data Verification (continuation)
S. Eloul, S. Moran, F. Silavong, S. Kamthe, A. Georgiadis
US App. 19/294,631 · 2025 · JPMorgan Chase
2025
Anomaly Detection in Network Devices
A. Mohammed, W.J. Guest, S. Moran, B. Peikon
US App. 19/072,371 · 2025 · JPMorgan Chase
2025
Automated Evaluation and Improvement of Code Quality
A. Frade, M. Kaiser, A. Vaidya, M. Labonne, S. Moran, E. Liu
US App. 19/061,306 · 2025 · JPMorgan Chase
2025
Machine Unlearning
J. Shi, K. Gourgoulias, S. Moran, N. Ghalyan, J. Buford, L. Rios
US App. 18/947,994 · 2025 · JPMorgan Chase
2025
Providing Model-Generated Content Based on Private Data
J.C-T. Chan, S. Thomas, T. Tang, M.T. Leung, F. Chen, S. Moran, A. Vaidya
US App. 18/907,124 · 2025 · JPMorgan Chase
2025
Anomaly Detection Pipeline with Few-Shot Language Models
K. Gourgoulias, B. Peikon, W.J. Guest, S. Ibraimoski, G. Liberman, S. Moran
US App. 18/769,156 · 2025 · JPMorgan Chase
2025
Generating Semi-Structured Term Sheets via Neural Information Retrieval
M. Labonne, S. Moran, D. Clesham, L. McInerney
US App. 18/766,138 · 2025 · JPMorgan Chase
2025
Automated Application and Platform Generation
P. MacIver, V. Babbar, S. Moran
US App. 18/756,180 · 2025 · JPMorgan Chase
2025
Enhanced LLM Conversational Performance via Adaptive RAG
N. Ghalyan, R. Amoako, S. Moran, E. Funnell
US App. 18/735,886 · 2025 · JPMorgan Chase
2025
Detection of Hallucination in Large Language Models
N. Ghalyan, R. Leandro, T. Badaracco, S. Moran
US App. 18/665,178 · 2025 · JPMorgan Chase
2025
ML-Based Multi-Lingual Pronunciation Generation
P. Sun, A.P. Cazan, R. Shi, S. Moran
US App. 18/496,313 · 2025 · JPMorgan Chase
2025
Unit-Test Generation via RL-Augmented Transformer Architectures
R. Saphal, G. Papadopoulos, F. Silavong, S. Moran
US App. 18/450,877 · 2025 · JPMorgan Chase
2025
Determining Causal Relationships Among Network Alarms
N. Ghalyan, M. Kaiser, S. Moran
US App. 18/412,338 · 2025 · JPMorgan Chase
2025
Learning-System Approach to Artificial Intelligence Models
N. Ghalyan, S. Moran, D. Cukor
US App. 18/405,691 · 2025 · JPMorgan Chase
2024
Contextual Table Embeddings for Tabular Data
S.Y. Moon, L. Tao, S. Moran, K. Gourgoulias
US App. 18/179,767 · 2024 · JPMorgan Chase
2024
Learning from Unlabeled Data and Fine-Tuning via Persistent Homology
N. Ghalyan, Y. Satsangi, K. Gourgoulias, J. Sabelja, S. Moran
US App. 18/343,320 · 2024 · JPMorgan Chase
2023
Weakly-Supervised Unit-Test Quality Scoring
G. Papadopoulos, A. Nadein, F. Silavong, S. Jiang, S. Moran, R. Otter
US App. 17/933,302 · 2023 · JPMorgan Chase
2021
Image Processor and Method
S. Moran et al.
US 2021/0073957 A1 · 2021 · Huawei Technologies

Publications

40+ peer-reviewed papers across vision, NLP, retrieval, and federated learning. Google Scholar →
2025
Learning-Based Hashing for ANN Search: Foundations and Early Advances
Sean Moran
arXiv 2025
2025
ADKit: A Framework for Anomaly Detection from Natural Language
K. Gourgoulias, S. Ibraimoski, G. Liberman, A. Cazan, M. Ayub, A. Frade, L. Rios, S. Moran
FinanSE 2025
2025
Using AI/ML to Find and Remediate Enterprise Secrets in Code & Document Sharing Platforms
G. Kerr, D. Algorry, S. Ibraimoski, P. Maciver, K. Gourgoulias, S. Moran
FinanSE 2025
2025
LLMs as Interfaces for Cloud Migration
G. Kerr, A. Vaidya, M. Vankayalapati, J. Chan, S. Ibraimoski, B. Chakrabarti, S. Moran
FinanSE 2025
2025
Efficient and Explainable Anomaly Detection in Financial System Logs
M. Ayub, M. Annarumma, K. Gourgoulias, G. Liberman, D. Algorry, N. Ghalyan, S. Moran
FinanSE 2025
2025
CodeQUEST: Evaluation and Improvement of Code Quality Using LLMs
R. Liu, A. Frade, A. Vaidya, M. Labonne, M. Kaiser, B. Chakrabarti, S. Moran
ISSREW 2025 (IEEE)
code
2025
Learning a Consensus Sub-Network with Polarization Regularization and One-Pass Training
X. Zhi, V. Babbar, P. Sun, F. Silavong, R. Shi, S. Moran
Data Mining & Knowledge Discovery 2025
2024
A Probabilistic Model for API Contract Specification Retrieval (OpenAPI)
S.Y. Moon, G. Kerr, F. Silavong, S. Moran
Data Mining & Knowledge Discovery 2024
code
2024
An Unsupervised Method for Estimating Class Separability of Datasets with Application to LLM Fine-Tuning
N. Ghalyan, K. Gourgoulias, Y. Satsangi, S. Moran, M. Labonne, J. Sabelja
TMLR 2024
2024
Model-Agnostic Utility-Preserving Biometric Information Anonymization
B. Moriarty, C-F. Chen, S. Hu, S. Moran, M. Pistoia, V. Piuri, P. Samarati
Int. Journal of Information Security 2024
2024
DeepClean: Machine Unlearning by Resetting Privacy-Sensitive Weights using the Fisher Diagonal
J. Shi, N. Ghalyan, K. Gourgoulias, J. Buford, S. Moran
ECCV Workshop on Unlearning 2024
slides
2024
Enhancing Privacy against Inversion Attacks in Federated Learning by Mixing Gradients
S. Eloul, F. Silavong, S. Kamthe, A. Georgiadis, S. Moran
WACV 2024
talk poster
2024
API-Miner: an API-to-API Specification Recommendation Engine
S.Y. Moon, G. Kerr, F. Silavong, S. Moran
FinanSE 2024
code
2024
Topical: Learning Repository Embeddings from Source Code using Attention
A. Lherondelle, V. Babbar, Y. Satsangi, F. Silavong, S. Eloul, S. Moran
FinanSE 2024
2023
A Benchmark Generative Probabilistic Model for Weak Supervised Learning
G. Papadopoulos, F. Silavong, S. Moran
ECML PKDD 2023
2023
Spam-T5: Benchmarking LLMs for Few-Shot Email Spam Detection
M. Labonne, S. Moran
FinLLM @ IJCAI 2023
code
2023
Code Librarian: A Software Package Recommendation Engine
L. Tao, A-P. Cazan, S. Ibraimoski, S. Moran
ICSE SEIP 2023
2022
Towards Data Efficient and Robust Speech Representation Model Distillation
P. Sun, R. Shi, A. Emami, S. Moran
NeurIPS ENLSP Workshop 2022
2022
Ledgit: Diagnosing Illicit Addresses on Blockchain via Multi-Modal Unsupervised Learning
X. Zhi, Y. Satsangi, S. Moran, S. Eloul
CIKM 2022
2022
Utility-Preserving Biometric Information Anonymization
B. Moriarty, C-F. Chen, S. Hu, S. Moran, M. Pistoia, V. Piuri, P. Samarati
ESORICS 2022
2022
CV4Code: Source Code Understanding via Visual Code Representations
R. Shi, L. Tao, R. Saphal, F. Silavong, S. Moran
ACCV 2022
code
2022
Senatus: A Fast and Accurate Code-To-Code Recommendation Engine
F. Silavong, S. Moran, A. Georgiadis, R. Saphal, R. Otter
MSR 2022
2022
ST-FL: Style-Transfer Preprocessing in Federated Learning for COVID-19 Segmentation
A. Georgiadis, V. Babbar, F. Silavong, S. Moran, R. Otter
SPIE Medical Imaging 2022
2021
Improving Streaming Cryptocurrency Transaction Classification via Biased Sampling and Graph Feedback
S. Eloul, S. Moran, J. Mendel
ACSAC 2021
2020
Low-Light Video Enhancement using Synthetic Data with Intermediate Domain Mapping
D. Triantafyllidou, S. Moran, S. McDonagh, S. Parisot, G. Slabaugh
ECCV 2020
code video
2020
DeepLPF: Deep Local Parametric Filters for Image Enhancement
S. Moran, P. Marza, S. McDonagh, S. Parisot, G. Slabaugh
CVPR 2020
code video
2020
CURL: Neural Curve Layers for Global Image Enhancement
S. Moran, S. McDonagh, G. Slabaugh
ICPR 2020
code video
2019
NODE: Extreme Low-Light Raw Image Denoising via Noise Decomposition
H. Guan, L. Liu, S. Moran, F. Song, G. Slabaugh
arXiv 2019
2019
Learning to Hash for Computer Vision and Image Retrieval
S. Moran
arXiv 2019
2018
A Novel Genomics-Based Platform for Environmental-Responsive Gene Promoters
J.M. Iglesias, R.M. Fraser, S. Moran, et al.
Molecular Therapy 2018
2016
Learning to Project and Binarise for Hashing-Based ANN Search
S. Moran
SIGIR 2016
2016
Enhancing First Story Detection using Word Embeddings
S. Moran, R. McCreadie, C. MacDonald, I. Ounis
SIGIR 2016
2015
Learning to Hash for Large-Scale Image Retrieval
S. Moran
PhD Thesis, University of Edinburgh, 2015
2015
Regularised Cross-Modal Hashing
S. Moran, V. Lavrenko
SIGIR 2015
code
2015
Automatic Kernel Carpentry for Atomistic Support of Continuum Stress
M. Ulz, S. Moran
arXiv 2015
2015
Graph Regularised Hashing
S. Moran, V. Lavrenko
ECIR 2015
code
2014
A Sparse Kernel Relevance Model for Automatic Image Annotation
S. Moran, V. Lavrenko
IJMIR 2014
code
2014
Sparse Kernel Learning for Image Annotation
S. Moran, V. Lavrenko
ICMR 2014 — Best Student Paper
code
2014
Real-Time Detection, Tracking and Monitoring of Discovered Events in Social Media
S. Moran et al.
ACL 2014 (Demo)
2013
Optimal Kernel Shape and Bandwidth for Atomistic Support of Continuum Stress
M. Ulz, S. Moran
MSMSE 2013
2013
Variable Bit Quantisation for LSH
S. Moran, V. Lavrenko, M. Osborne
ACL 2013
code
2013
Neighbourhood Preserving Quantisation for LSH
S. Moran, V. Lavrenko, M. Osborne
SIGIR 2013
code
2012
Gaussian Mixture Modelling for Atomistic Support of Continuum Stress
M. Ulz, S. Moran
MSMSE 2012
2011
Optimal Tag Sets for Automatic Image Annotation
S. Moran, V. Lavrenko
BMVC 2011
2004
Robust Fusion of Colour Appearance Models for Object Tracking
C. Town, S. Moran
BMVC 2004

Writing

Essays for technical practitioners. Follow on Medium →

Open source & datasets

A few of the things I've put on the public internet.

Get in touch

Open to invited talks and research-collaboration enquiries. Email is the best way to reach me.

sean.j.morangmail.com

LinkedIn GitHub