I am a predoctoral visiting fellow at the National Cancer Institute (NCI) working in Cancer Data Science Laboratory (CDSL) under supervision of Dr. Cenk Sahinalp. I am also a Ph.D. candidate studying Computer Science at the Indiana University Bloomington (IUB) since 2017. My main research focus is on Tumor Heterogeneity and Cancer Evolution modeling using Single-cell sequencing data. I completed my Master’s thesis at the Sharif University of Technology where I worked on learning of Alternative Splicing problem, jointly supervised by Dr. Abolfazl Motahari and Dr. Hamid Rabiee. I received my Bachelor’s degree from Amirkabir University of Technology (Tehran Polytechnic) in Iran.
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P7
Profiles of expressed mutations in single cells reveal subclonal expansion patterns and therapeutic impact of intratumor heterogeneity
bioRxiv Full text Poster Webpage Code Presentation |
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P6
Epigenomic tumor evolution modeling with single-cell methylation data profiling
bioRxiv Full text |
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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 |
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P4
A Transcriptionally Distinct Subpopulation of Healthy Acinar Cells Exhibit Features of Pancreatic Progenitors and PDAC
Cancer Research Full text Supplementary |
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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 |
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P2
Clonal Evolution and Heterogeneity of Osimertinib Acquired Resistance Mechanisms in EGFR Mutant Lung Cancer
Cell Reports Medicine Full text Supplementary |
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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 |
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S6
scPhylo-tools: a python toolkit for single-cell tumor phylogenetic analysis
Webpage Code Star Fork |
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S5
Trisicell: a scalable tumor phylogeny reconstruction and validation tool using single-cell data
Webpage Code Publication Star Fork |
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S4
PhISCS: a tool for sub-perfect tumor phylogeny reconstruction via integrative use of single-cell and bulk sequencing data
Code Publication Star Fork |
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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 |
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S2
HUNTRESS: a provably fast intratumor heterogeneity inference from single-cell sequencing data
Code Star Fork |
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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 |