"SAMBa offers high level training in statistical and applied mathematical disciplines, as well as direct engagement with industrial partners"
Before joining SAMBa, I did a BSc in Mathematics at the University of Torino and then a Masters at Collegio Carlo Alberto. My research involved multilevel methods, MCMC algorithms, transport maps and Bayesian inverse problems. In particular, I worked with computationally expensive high-dimensional problems, trying to reduce the cost per iteration and performing algorithms that scale well in high dimension.
In my third year, I was selected to join the Turing Enrichment programme (https://www.turing.ac.uk/workturing/studentships/enrichment) and spent a year in London building new collaborations and broadening my research. Following that I took on an internship working for a small data science company in London. Finally I spent a year at the University of Heidelberg, working with one of my supervisors. I am now working for Amazon in Berlin as a Machine Learning Scientist.
SAMBa gave me a broad base of training, access to lots of excellent research and confidence in engaging with applications. The opportunities to spend time in London and Heidelberg broadened my perspective and personal network a lot and meant I had a really strong and varied CV which helped me stand out to employers.
SAMBa offers high level training in statistical and applied mathematical disciplines, as well as direct engagement with industrial partners. The faculty is friendly and cohesive, which makes the experience great for interdisciplinary studies. It’s a well orchestrated, fast growing reality. I could not recommend it more.
The SAMBa team understands how to efficiently bridge the gap between the abstract world of mathematics and statistics to industrial research
I really valued the experience of being part of a cohort of students in SAMBa, which guaranteed that we were not doing our PhDs in isolation, despite working intensively on independent projects
I joined thinking I wanted to do one type of PhD but ended up doing a completely different one due to the flexibility that was provided in finding/forming a PhD during the masters year
I was able to use the SAMBa training in statistics, to support training workshops in Mexico and in fact took a break from my PhD to take on a statistics teaching assistant role.
SAMBa provided a uniquely supportive yet challenging environment, in which one is encouraged to explore their interests and question their limits
Being a part of SAMBa was a great way to broaden my research interests and to apply this knowledge to cross-displinary problems
(My supervisors) encouraged me to take my own research direction, guided by my interests, and to be involved in the wider community, presenting at and attending a wide range of national and international conferences
The ITTs were invaluable in providing experience in collaborating effectively with others on large projects, understanding and synthesising new information quickly, and liasing with academic leads and commercial partners
I enjoyed the big portfolio of opportunities I was given, which I believe is an essential property of SAMBa and something which truly makes the programme worth it
My experience in SAMBa shaped me as a versatile researcher with the ability to use maths to make an impact.
