Author Image

Hi, I am Ben

Ben Snow

Machine Learning Specialist at SnowStreamIntelligence Limited

I am an independent machine learning contractor who is passionate about computer vision and artificial intelligence. During my EngD, I gained research experience with many computer vision concepts including depth estimation and denoising diffusion probabilistic modelling. I am keenly interested in turning proof-of-concept research into usable, scalable business products. My training as an Experimental Physicist in Manchester’s Graphene and 2D materials group guides my scientific approach. I am currently looking for Outside IR35 contract work in machine learning and computer vision.

Presentations
Leadership
Team Work
Communication
Report writing

Skills

Education

Doctor of Engineering (EngD) - Currently on 12 month interruption of studies until 01/01/2023
Relevant Courses
  • Data Mining and Analytic Technologies (91%)
  • Computer Vision (86%)
  • Animation Software Engineering
  • CGI Techniques
Extracurricular Activities
  • Peer reviewer for numerous journals articles for topics including Smooth Partical Hydrodynamics, Denoising Diffusion Probabilistic Modelling, Facial Landmark Detection
Master of Physics (MPhys)
Grade: 2:1 Upper Second Class Honours
Relevant Courses
  • Advanced Statistical Physics
  • Physics of Fluids
  • Mathematics of Waves and Fields
  • Lagrangian Dynamics
Extracurricular Activities
  • Juggling and Circus society
  • Climbing and bouldering society
University of Maryland College Park
2017-2018
Year abroard
Grade: First class equivalent
Relevant Courses
  • Graduate Solid State Physics
  • Scientific Computing
  • Quantum Physics
  • Topics in Nuclear and Particle Physics
Extracurricular Activities
  • Hiking, camping, climbing, kyacking, mountain biking, and caving with UMD Adventure program
  • UMD Juggling and Circus society
  • UMD Rocket League E-Sports society

Experiences

1
Research Assistant
E-Drone Project

Feb 2022 - Present, Remote

Research initiative involving Bournemouth University, University of Southampton, University of Leeds, and University College London to investigate the feasibility of Drone delivery for last-mile logistics and the NHS.

Responsibilities:
  • Design and develop a Drone delivery game to investigate tradeoffs between risk, time, and energy in drone delivery scenarios
  • Produce high-quality code and research to a publishable standard and submit papers as the first author to journals and conferences
  • Deploy the game on android play store and ios app store to the general public for data collection and analysis

Research Engineer
Griffon Hoverwork Ltd.

March 2020 - currently interrupting studies until 01/01/2023, Remote

Griffon Hoverwork Ltd. are a hovercraft manufacturer and designer based in Southampton, UK. They are interested in leveraging the high-end games engine, Unreal Engine 4, to develop a driving simulator to help train and test trainee pilots to drive their craft.

Responsibilities:
  • Two weekly report writing and project management with RAG action log, gantt chart, and continuous documentation of project status
  • Work with stakeholders to define the scope of the project
  • C++ and blueprint development of hovercraft training simulator in Unreal Engine 4
  • Reading and implementing research papers to accurately simulate hovercraft physics
  • Drive a real-life hovercraft to understand the subtleties of learning to drive and develop the lesson plan
2

Projects

Drone delivery research
Drone delivery research
Research assistant Feb 2022 - Present

Do you save money, energy, time or risk? I am developing a Unity game in C# to understand the tradeoffs of these factors and more when it comes to drones being used for last-mile logistics.

Hovercraft pilot training simulator
Hovercraft pilot training simulator
Research Engineer Apr 2020 - Present

Hovercraft are expensive, can’t we make a simulator instead? I researched and developed a physics-based driving simulator for training hovercraft pilots for Griffon Hoverwork Ltd. to allow them to do exactly that!

Magnetotransport in thin cobalt films for spintronics applications
Magnetotransport in thin cobalt films for spintronics applications
MPhys Researcher Sept 2018 - Apr 2019

Can we use heat and magnetism to speed up computers and save energy? In my MPhys research, I investigated the effects of magnetisation direction and temperature gradient on the resistivity of a 2D cobalt film on hBN and SiO2 substrates for graphene spintronics applications to find out if it’s possible.

Neutrinoless Double Beta Decay and the theory behind the possible Majorana nature of the neutrino
Neutrinoless Double Beta Decay and the theory behind the possible Majorana nature of the neutrino
MPhys Researcher Apr 2018 - May 2018

The game, Mrs. Hudson, is on! The game here is the quest to find Neutrinoless Double Beta decay and show that neutrinos act as their own antiparticles. Here I derive from first principles the conservation laws surrounding Majorana particles from the Dirac equation and discuss their impact.

Recent Posts