I am a Generally Curious Character

Data scientist and overall learning enthusiast. I have a passion for machine learning which I frequently exercise across a spectrum of disciplines and applications. I have many interests and skills which I am able to effectively adapt and undertake projects in various disciplines. I have a deep interesting in deep learning and a strong desire to pursue quantum computing and quantum machine learning in the near future.

Ongoing Side Projects

⦾ QTC Nexus🔗 aims to bring together researchers from across the Quantum, Computational, and Theoretical Chemistry & Physics communities. We are developing a multi-functional literature-connectivity network analysis and visualization toolkit. We will host the application along with its built in user interface. To support the computation time/cost we hope to be awarded a grant through the Science Gateway program.

⦾ Collaborators from academia and industry aim to develop Quantum Mechanics Visualization Suite as a course companion for upper level physics undergraduates taking our team member's (a University Professor who first pitched this idea to me) Intro to Quantum Mechanics I & II courses.

⦾ Physics and Deep Learnings research. Initially we focused on applying deep learning in an unsupervised manner to simple quantum systems, namely those we dubbed Quantum Potential Neural Networks. Currently we are interested in investigating problems from statistical physics concerning, in particular critical phenomena in Ising and Ising-like systems.