Salam Alabdullatif

Research: I am a Master’s student in the bioinformatics program. My undergraduate background is in physics, where I gained some experience with computational tools and discovered an interest in biological applications. I joined the lab in the summer of 2019, working on analysis of single-cell RNA-seq data in R. My current role in the lab involves refining a pipeline to apply analysis tools to new datasets. Email: salamha@bu.edu

Yichen Wang

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

Irzam Sarfraz

Research: I am a Computer Science graduate and have focused on development of interactive computational tools for analysis of high-throughput biological data. Previously, I developed a standalone and streamlined interactive tool for easy analysis of microarray data. My current work revolves around development of various parts of the ‘singleCellTK’ shiny R-based toolkit and an R package to manage subsets of Bioconductor experiment objects. Email: irzam9095@gmail.com

Yuan Yin

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.

Nida Pervaiz

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.