Graduate Research @
North Carolina State University
Graduate Research @
North Carolina State University
Most of my graduate research are projects in progress! Some interesting projects I've worked on include:
Methods for longitudinal heirarichal endpoints
Methods for finite-sample calibrated inference on categorical data
Causal inference with matching on win-statistics
Undergraduate Research @
University of Toronto
At the Centre for Addiction and Mental Health (CAMH) I worked in the biostatistics core service, where I attended biostatistics meetings and discussed new methodologies being developed to help solve issues prompted by clinicians. My work began after discussing the use of psilocybin against obsessive-compulsive disorder, body dysmorphic disorder, and anorexia nervosa in a basket trial. I am actively working on completing the associated paper and deriving the necessary formulae. We hope to publish to Clinical Trials.
At the Pardee Lab in the Department of Pharmacy, I worked on the development of a novel machine-learning algorithm/pipeline to discover novel amino acid sequences for a targeted purpose. I spent a year developing the machine learning pipeline, for protein problem with low training/test dataset sizes. In my final couple of months, I led a team of 3 more computational undergraduates to wrap up model development. I am no longer employed at the lab, but current efforts are focused on building a high-throughput system that can screen proteins and improve the model's accuracy.
Final Report (no mention of wet lab results): https://drive.google.com/file/d/1Y6j19-G55BfxreJUkHyOVI_ZNSE2TZ22/view?usp=sharing