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.
18
Oct
Oct
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.
17
Jun
Jun
Research: As a Bioinformatics Analyst, Iris focused on novel statistical method development for emerging data (single-cell RNA seq data, etc.) generated with new technologies and bringing useful mathematical methods towards solve biological problems. She enjoy learning biology by providing practical insights from a statistical point of view and created a computational method DecontX for upstream data processing guidance to estimate and remove contamination for single-cell RNA-seq data. She also worked on a bi-clustering method Celda towards identifying rare cell types in single cell data. Next position: Intellia Therapeutics
17
Jun
Jun
Research: I am a Bioinformatics Analyst and was previously a masters student in the Bioinformatics program at Boston University. I am currently studying the effect of combined treatment of ASA and zileuton on biomarkers of tobacco-related carcinogenesis in current smokers. In addition, I’m developing analysis tools for copy number variation as part of our single cell analysis pipeline. Email: chusted@bu.edu
17
Jun
Jun
Research: I graduated from Bioinformatics Master’s Program at Boston University and am working as a Bioinformatic Analyst at BU. During my study in the field, I have gained experiences in developing tools for single-cell RNA-seq data analysis and genome assembly, in both R and Python. I am currently working on singleCellTK and focusing on user interface building as well as computational package writing. Outside of Bioinformatics, I do a lot of acoustic guitar rearranged cover of J-pop music. Email: wangych@bu.edu
06
Jun
Jun
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.