AI engineer and PhD researcher working across recommender systems, LLM applications, NLP, machine learning, time series, marketing mix modeling,causal inference and production AI.
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A regime-switching forecasting system that adapts to structural changes while producing distribution-free uncertainty intervals.
A personalized activity and event recommendation system combining user preferences, semantic representations, retrieval, and language models.
End-to-end machine learning systems spanning data collection, feature pipelines, two-tower retrieval, ranking, NLP models, deployment, and iterative optimization.
A personalized planning product that transforms financial, lifestyle, and family inputs into simulated future pathways and structured decision reports.
Biomedical data, interpretable machine learning, and scientific computing.
An exploratory biomedical NLP pipeline for discovering latent clinical patterns in Alzheimer's disease records by combining unstructured medical text with cognitive, genetic, and imaging-derived biomarkers.
A comparative machine-learning study investigating whether gene-expression profiles can predict gene essentiality across cancer cell lines.
Capabilities grouped by concern — retrieval, language, reliability, and production engineering.
$ system.inspect("retrieval")
$ system.inspect("language")
$ system.inspect("reliability")
$ system.inspect("production")
AI Researcher
Long-term marketing effects, causal inference, time-series forecasting, adaptive models, and uncertainty estimation.
AI Engineer
LLM-powered personalized activity and event recommendation systems.
AI Engineer Intern
NLP and recommendation systems for movie and streaming content.
AI Engineer
NLP, large language models, two-tower retrieval, ranking systems, user profiles, and production model optimization.
AI Researcher / Computational Analyst
Machine learning for genomic datasets and gene-essentiality prediction.
Deep Switching State-Space Models Meet Conformal Prediction
NeurIPS 2025 Workshop on Recent Advances in Time Series Foundation Models
Echo Diyun Lu, Charles S. M. Findling, Marianne Clausel, Alessandro Leite, Wei Gong, Pierric Kersaudy
I am an AI engineer and PhD researcher working at the intersection of machine learning research and production systems.
My experience spans recommender systems, NLP, large language models, causal inference, forecasting, and AI product development. I enjoy taking ambiguous problems, designing the right technical approach, and turning it into something people can actually use.
I care less about impressive demos and more about whether a system remains useful, reliable, and understandable after it meets real users.