Introductory message

[Gary Bhumbra]

Dear all,

Just a quick introductory message as requested for new group joiners. I'm a Research Scientist with ML Python coding experience in academia and industry.

Python familiarity: 8 years of programming experience.

Mathematical education level: PhD in computational neuroscience.

Expertise: machine learning, computational neuroscience, probabilistic modelling.

Algorithmic interests: Bayesian methods, deep learning, neuroscientific architectures.

Familiarity with SAS/CAS.: theoretical research )(cf. engineering applications).

Familiarity with SymPy: rudimentary.

Other relevant information: I am interested in combining the capability of computer algebraic systems (such as SymPy) with network analytical packages (such as NetworkX) to build directed graphical model (a.k.a. belief/causal network) architectures for deep Bayesian inference using MCMC and variational Bayes.

I look forward to experimenting with SymPy!

Kind regards,

Gary.