I am a data scientist and researcher specializing in the field of computational oncology. I'd be happy to connect with you, simply reach out to me through:

Room 3044, Building 37, NIH
frashidi AT iu DOT edu

Publications:

	P7 Single-cell methylation sequencing data reveal succinct metastatic migration histories and tumor progression models Genome Research RECOMB 2023 Proceedings Full text Supplementary Code
	P6 Fast intratumor heterogeneity inference from single-cell sequencing data Nature Computational Science Full text Supplementary Code
	P5 Review on Studying the History of Tumor Evolution from Single-Cell Sequencing Data by Exploring the Space of Binary Matrices Journal of Computational Biology Full text
	P4 A Transcriptionally Distinct Subpopulation of Healthy Acinar Cells Exhibit Features of Pancreatic Progenitors and PDAC Cancer Research Full text Supplementary
	P3 PhISCS-BnB: a fast branch and bound algorithm for the perfect tumor phylogeny reconstruction problem Bioinformatics ISMB 2020 Proceedings Full text Supplementary Code Presentation
	P2 Clonal Evolution and Heterogeneity of Osimertinib Acquired Resistance Mechanisms in EGFR Mutant Lung Cancer Cell Reports Medicine Full text Supplementary
	P1 PhISCS: a combinatorial approach for subperfect tumor phylogeny reconstruction via integrative use of single-cell and bulk sequencing data Genome Research Full text Supplementary Code Presentation

Software:

	S6 scPhylo-tools: a python toolkit for single-cell tumor phylogenetic analysis Webpage Code Star Fork
	S5 Trisicell: a scalable tumor phylogeny reconstruction and validation tool using single-cell data Webpage Code Publication Star Fork
	S4 PhISCS: a tool for sub-perfect tumor phylogeny reconstruction via integrative use of single-cell and bulk sequencing data Code Publication Star Fork
	S3 PhISCS-BnB: a fast tool for reconstructing the perfect tumor phylogeny using single-ceqll data via branch and bound algorithm Code Publication Star Fork
	S2 HUNTRESS: a provably fast intratumor heterogeneity inference from single-cell sequencing data Code Publication Star Fork
	S1 Kaggle Solutions: a searchable list of almost all available solutions and ideas shared by top performers in the past Kaggle competitions Webpage Code Star Fork