Thesis Project Form
Title (tentative): Experimental design (external, at Arsenale BioYards, https://arsenale.bio/)| Thesis advisor(s): Storace Marco | E-mail: |
| Address: Via Opera Pia 11A, secondo piano | Phone: (+39) 010 33 52079 |
Description
Motivation and application domain
At Arsenale BioYards (https://arsenale.bio/) we are pushing the frontiers of what is currently possible in synthetic biology, by making precision fermentation economically viable.
General objectives and main activities
A key problem in biology, and in other fields, is deciding which experiment to prioritize. This problem is generally referred to as Design of Experiments (DoE). We are looking for a student to carry out a six month project on this topic, in which s/he will develop novel machine learning methods to improve our Lab’s DoE pipeline.
Training Objectives (technical/analytical tools, experimental methodologies)
The methods will be developed in Python and the student will have access to high-performance GPUs. The student will have the chance to work in a vibrant startup environment, and to develop impactful solutions to important problems.
Place(s) where the thesis work will be carried out: Mainly (or totally) at home
Additional information
Pre-requisite abilities/skills: • Motivated to work in a dynamic, fast-pace environment; Strong Python skills; Has led on machine learning projects before
Maximum number of students: 1