Summary
Nicolas Aussel is a research scientist in applied machine learning and NLP with 11 years of experience spanning aeronautics, healthtech, telecommunications and astrophysics research. With a PhD in computer science from Université Paris-Saclay and engineering training from Télécom SudParis, he has built and deployed ML pipelines and distributed data platforms—from Apache Spark and HDFS clusters for predictive maintenance to Elasticsearch at web scale. He led applied ML research at a healthtech startup to accelerate rare-disease diagnosis, worked on NLP at Huawei Noah’s Ark Lab, and now drives research at Nokia Bell Labs exploring NLP and telecom applications. Comfortable bridging academia and industry, he combines rigorous experimental science with product-minded deployment and has a background in galaxy evolution research that informs a data-driven, cross-disciplinary approach.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Université Paris-Saclay
Diplôme d'ingénieur (MSc), Computer Science, Diplôme d'ingénieur (MSc), Computer Science at Télécom SudParis
French, English, German, Japanese