Personal details
Alvise V.
Timezone: London (UTC+1)
Summary
I am a PhD student at Imperial College London, working at the Centre for Doctoral Training on Controlled Quantum Dynamics. I have a background in Physics, Electronics, Scientific Computing and Data Analysis and visualisation. I am passionate about developing software and tools to bring positive change to the world!
Work Experience
PhD Student
Imperial College London | Oct 2017 - Present
Python
PostgreSQL
Arduino
Microcontroller
Data Science
Data Visualization
LabVIEW
PCB Design
My research focuses on the development of quantum enhanced measurement techniques in optical lattice clocks, with particular focus on the neutral strontium optical lattice systems at the National Physical Laboratory (UK). I am responsible for the continuous operation, development, and innovation of these systems. This work may very well ultimately lead to the redefinition of the second!
In addition to the day-to-day experimental operation of laser systems and rapid prototyping of custom electronics, I developed strong python programming skills in the development of scientific applications and data analysis pipelines - as well as a broad range of quantitative and analytical skills.
The work of my PhD has so far resulted in eight original papers. I also maintain and contribute to open-source software packages (available on PyPI).
Personal Projects
2020
Python
PostgreSQL
Jumbo is a python wrapper of the amazing psycopg2 - the most popular PostgreSQL database adapter for the Python programming language.
Jumbo has been designed specifically for adoption in environments where thorough widespread knowledge of SQL protocols might be lacking and a streamlined approach to database interactions might be needed. Jumbo offers an intuitive and quickly deployable interface to successfully implement a database-centred data analysis pipeline at all levels of your team or organisation.
Jumbo is intuitive yet customisable - first-time users can easily interact with the database without worrying about handling transactions under the hood. At the same time, experienced PostgreSQL architects can still unleash the full power of psycopg2 and exploit its more advanced functionalities.