I am a Statistical Practice graduate and have a background in Applied Mathematics from my undergraduate studies. I possess a strong interest in exploring intricate mathematical theories, constructing statistical models, and implementing them to real-world datasets using R or Python. Currently, I focus on developing the Latent Dirichlet Allocation models for mutational signature datasets, expecting to achieve precise estimations of the mutation signatures with high efficiency.
I am a Master’s student in the bioinformatics program. I received my undergraduate degree in biochemistry. I joined the lab during the summer of 2022, and my current role is working as a bioinformatics analyst for single-cell/single-nuclei RNA seq data under the supervision of Dr. Campbell and Dr. Zeldich.
Yuan has a background in synthetic and system biology, and his interest has pivoted towards statistical methods development and their application to biological data. Currently he is working on extending a decontamination algorithm to various single-cell genomics data. Outside of work he enjoys swimming, kayaking, hiking, cycling around Boston, and listening to Ariana Grande.
I am a computer scientist withholding keen interest and passion for biological data with techniques for information storage, distribution, and analysis to support multiple areas of scientific research, including biomedicine. Previously served as a lecturer, I taught courses such as Data Structures and Artificial Intelligence where I have supervised multiple projects involving Data Mining and Deep Learning. Currently, I am helping to scale Single Cell Toolkit focusing on the implementation of different algorithms for single cell RNA-seq data in R together with building their interactive user interface for a quick visualization of the results. Apart from work, I am fond of listening to music and exploring new foods and places.