I delivered this talk to Newcastle University’s applied mathematics department
in October 2019. The intention of this talk was to introduce attendees
to Bayesian statistics, highlight how it differs from frequentist statistics
and provide an astronomically motivated case study. All the code associated with
these slides can be found in this repository

# Talks

- Bayesian statistics in Astrophysics
- Hash functions and password cracking
- Parameter inference for collective behaviour

Cryptographic hash functions have been described as the workhorses of modern
cryptography, having uses in message authentication, digital signatures and
password verification. But how do they work and how safe really are they?
In this talk I gave a live
demonstration of password cracking using the software
hashcat and one of
the university’s GPU equipped machines. This machine allowed us to make *over
4 billion* password attacks per second.
I concluded the talk by discussing how to set and manage passwords in a secure
and safe manner.

In this talk, given in 2018 at Newcastle University, I discussed work I was
completing as part of my PhD. In particular, I gave a brief introduction to
the phenomenon of collective behaviour and the related mathematical models used
to simulate these behaviours. I then showed how we can use the Stan programming
language to learn about individual behaviours from
field data.