Made byBobr AI

Advancing Weather Resilience and Public Safety

A professional scientific profile focused on meteorology, numerical modelling, and atmospheric simulation for weather resilience and public safety.

#meteorology#atmospheric-science#weather-resilience#scientific-computing#data-assimilation#numerical-modelling
Watch
Pitch

Helping People Make Better Decisions to Stay Safe and Thrive

Applying Scientific Expertise to the Met Office Mission

Made byBobr AI

"My Goal: To use my scientific and technical skills to advance the mission of weather resilience and public safety."

Made byBobr AI

Alignment with Met Office Core Values

We're experts by nature

We live and breathe it

We keep evolving

We're better together

Made byBobr AI

We're experts by nature

Scientific Foundation at Imperial College London

  • MSci Mathematics, First Class Honours
  • Specialized in Geophysical Fluid Dynamics & PDEs
  • Advanced Numerical Modelling coursework
Made byBobr AI

Specialized Meteorological Training

Deepening understanding of atmospheric processes through targeted learning.

• ECMWF & University of Reading Courses
• Focus on Meteorology & Data Assimilation
• Bridging abstract mathematics with real-world weather systems
Made byBobr AI
We live and breathe it

Impact in Action: ClusterTech Internship

Implemented lightning parameterization in CPAS (Customizable Precision Atmospheric Simulation)
Applied science to solve real-world predictability challenges
Made byBobr AI

Applied Research & Analytical Skills

ClimateHack.AI

Applied CNNs (Convolutional Neural Networks) to predict solar cloud coverage, merging AI with meteorology.

UROP Research

Modelled electrohydrodynamic effects in fluids and analyzed shearing flows/droplet charge dynamics.

Made byBobr AI

We keep evolving: Scientific Computing

Demonstrated ability to handle complex scientific data and modelling software.

Python
C++
MATLAB
R
Model Experience: Familiarity with WRF & MPAS
Made byBobr AI

Proactive Learning & Ownership

Independent Learning

Self-initiated ECMWF/Reading online courses

End-to-End Ownership

Managed summer research projects from planning to delivery

Initiative

Independently entered and competed in ClimateHack.AI

Made byBobr AI
Communication Skills

We're better together: Communication

  • Peer Tutor: Breaking down complex math for first-year students weekly
  • Technical Writing: Professional blogs and reports at ClusterTech
  • Presentations: Effectively delivering results to faculty experts
Made byBobr AI

Collaboration Success Stories

Winton Capital Award-Winning Project

Effective group coordination delivered prize-winning results.

Hackathons

Thriving in high-pressure, rapid-development team environments.

Made byBobr AI

"Ready to help the public stay safe and thrive."

Expertise • Passion • Continuous Evolution • Collaboration

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Advancing Weather Resilience and Public Safety

A professional scientific profile focused on meteorology, numerical modelling, and atmospheric simulation for weather resilience and public safety.

Helping People Make Better Decisions to Stay Safe and Thrive

Applying Scientific Expertise to the Met Office Mission

My Goal: To use my scientific and technical skills to advance the mission of weather resilience and public safety.

Alignment with Met Office Core Values

We're experts by nature

We live and breathe it

We keep evolving

We're better together

We're experts by nature

Scientific Foundation at Imperial College London

MSci Mathematics, First Class Honours

Specialized in Geophysical Fluid Dynamics & PDEs

Advanced Numerical Modelling coursework

Specialized Meteorological Training

Deepening understanding of atmospheric processes through targeted learning.

ECMWF & University of Reading Courses

Focus on Meteorology & Data Assimilation

Bridging abstract mathematics with real-world weather systems

We live and breathe it

Impact in Action: ClusterTech Internship

Implemented lightning parameterization in CPAS (Customizable Precision Atmospheric Simulation)

Applied science to solve real-world predictability challenges

Applied Research & Analytical Skills

ClimateHack.AI

Applied CNNs (Convolutional Neural Networks) to predict solar cloud coverage, merging AI with meteorology.

UROP Research

Modelled electrohydrodynamic effects in fluids and analyzed shearing flows/droplet charge dynamics.

We keep evolving: Scientific Computing

Demonstrated ability to handle complex scientific data and modelling software.

Python

C++

MATLAB

R

Familiarity with WRF & MPAS

Proactive Learning & Ownership

Independent Learning

Self-initiated ECMWF/Reading online courses

End-to-End Ownership

Managed summer research projects from planning to delivery

Initiative

Independently entered and competed in ClimateHack.AI

We're better together: Communication

Peer Tutor: Breaking down complex math for first-year students weekly

Technical Writing: Professional blogs and reports at ClusterTech

Presentations: Effectively delivering results to faculty experts

Collaboration Success Stories

Winton Capital Award-Winning Project

Effective group coordination delivered prize-winning results.

Hackathons

Thriving in high-pressure, rapid-development team environments.

Ready to help the public stay safe and thrive.

Expertise • Passion • Continuous Evolution • Collaboration

  • meteorology
  • atmospheric-science
  • weather-resilience
  • scientific-computing
  • data-assimilation
  • numerical-modelling