Daniel Pearce Email & Phone Number

Paris, Ile-De-France, Fr

Experienced Program Manager with a strong background in Air Traffic Management, specializing in risk analysis, performance optimization, and data-driven solutions. I lead the development and implementation of cutting-edge numerical models, leveraging AI/ML and NLP to automate risk detection and quantification, enhancing aviation safety.Proven expertise in software development across the full stack. I'm proficient in Python and Java, utilizing frameworks like Spring Boot, and possess extensive experience in frontend development with React.js and Ember.js. My skillset extends to interface and API design, rapid prototyping, and integrating AI technologies, including LLMs, PyTorch, and LangChain, to build innovative solutions.Adept at managing cloud (AWS/Azure) and distributed modeling platforms. I employ ETL and analytics tools like Apache NiFi and Apache Spark to extract valuable insights from big data. Furthermore, I contribute to international aviation risk mitigation efforts through collaborative liaison work between the FAA and EUROCONTROL.A strong communicator with a proven track record of success. I am a proficient writer of journal papers and project bids, effectively conveying complex technical information to diverse audiences.

Paris, Île-De-France, Fr

ISO 14064 certified verifier performing on site verification of airline annual CO2 Emission Reports.

Paris, Ile-De-France, Fr

Leading development of new environmental tools for aviation. Full stack development, including numerical simulations (e.g. noise, local air quality, global emissions), innovate front end visualizations (e.g. 3D/4D metrics), and development of trade-off / "what-if" assessments (e.g. inclusion and quantification of social factors into environmental assessment) and new metrics (e.g. Aviation CO2 standard). Working on projects in SESAR, CleanSky and FP7 as well as support contracts for EUROCONTROL and EASA.

Brussels, Brussels, Be

Postgraduate research into the feasibility of including non-linear atmospheric chemistry into airport local air quality dispersion and plume models. Numerical analysis using MATLAB, Python, and ArcGIS amongst other domain specific tools.

Gb

Meng, Mechanical Engineering

Education record