2026-05-07T21:13:53+00:00 https://mtp354.github.io/publications.xml https://mtp354.github.io/publication/2025-05-15-byzantine 2025-05-15T00:00:00+00:00

This project was made possible thanks to the [Quantum Open Source Foundation](https://qosf.org/) and their mentorship programme. I'm tremendously grateful to my mentor Dr. Chen for all of the support as well as dreamining up the original project idea. This was my first foray into distributed quantum computing and cryptography which has ignited my research interest ever since.

https://mtp354.github.io/publication/2024-04-26-uterine_apc 2024-04-26T00:00:00+00:00

This paper was inspired by some of the work I saw at an earlier CISNET conference. It was a cool opportunity to employee information theory techniques toward new applications and to use new visualization tools to convey trends.

https://mtp354.github.io/publication/2024-02-07-estrogen 2024-02-07T00:00:00+00:00

I really enjoyed working with my co-authors on this project as it was a great opportunity to employee Bayesian methods and was very policy change focused. It is always an interesting experience getting to build of an existing model, it feels like reading someone elses code so closely is a window into their mind. It definitely makes me reflect on earlier code I have written and wish my apologies to anyone who has had to inherit it! Learning is thankfully a lifelong pursuit and this project definitely helped improve my coding.

https://mtp354.github.io/publication/2024-01-01-fibroids 2024-01-01T00:00:00+00:00

This was one of my first non-CISNET related projects in my position at Columbia University. I definitely underestimated how many attempts it would take for me to accurately create the target cohort and I am very grateful to the patience and support of my co-authors for this task. It was also my first "big-data" challenge, where even though the computations needed, and code used was simple, I had to be much more mindful of using resources efficiently. I learned a lot on this project, and it was rewarding to be a part of social determinants of health research with the goal of addressing systemic biases. I really hope the importance of studies such as this are made known to the broader public, particularly in the current challenging funding environment.

https://mtp354.github.io/publication/2023-11-16-pancreatic_counterfactual 2023-11-16T00:00:00+00:00

Counterfactuals and causality, along with programming and methodologic similarities, are two features that overlap between my physics research and background and my statistical modelling work at Columbia. This project was a really cool idea, as counterfactual simulation should really be more widely adopting when thinking of anything related to policy.

https://mtp354.github.io/publication/2023-09-01-pole_cea 2023-09-01T00:00:00+00:00

I worked on this project while my two CISNET models were in their infancy and I had not yet begun cost-effectiveness analysis. This project was the perfect opportunity to put my newly developed CEA coding skills into practice in a short time frame.

https://mtp354.github.io/publication/2023-09-01-non_demolition 2023-09-01T00:00:00+00:00

This project served as my introduction to the Lindblad equation and decoherence more generally, which are often under addressed in a standard undergraduate physics curriculum. I learned a lot and it was a great project for sharpening my Mathematica skills. I am very grateful to my co-authors and my then advisor for this opportunity.

https://mtp354.github.io/publication/2023-01-01-liquid_biopsy 2023-01-01T00:00:00+00:00

I really enjoyed getting to work with such a great team on this paper, all of whom brought tremendous time and talent to the task. This was also a great opportunity to build up the cost-effectiveness and probabilistic sensitivity analysis side of my modelling skills. Getting to play a part in this sort of research where there is a real opportunity to shift healthcare policy and impact lives was deeply rewarding too.